| Name |
Description |
Abstract |
Status |
Publication date |
Edition |
Number of pages |
Technical committee |
ICS |
| ISO/R 460:1965 |
Withdrawal of ISO/R 460-1965 |
|
Withdrawn |
1965-11 |
Edition : 1 |
Number of pages : 2 |
Technical Committee |
53.040.20
Components for conveyors
|
| ISO 5725-6:1994 |
Accuracy (trueness and precision) of measurement methods and results — Part 6: Use in practice of accuracy values |
The purpose is to give some indications of the way in which accuracy data can be used in various practical situations by: giving a standard method of calculating the repeatability limit, the reproducibility limit and other limits, providing a way of checking the acceptability of test results obtained under repeatability or reproducibility conditions, describing how to assess the stability of results within a laboratory over a period of time, describing how to assess whether a given laboratory is able to use a given standard measurement method in a satisfactory way, describing how to compare alternative measurement methods.
|
Published |
1994-12 |
Edition : 1 |
Number of pages : 41 |
Technical Committee |
17.020
Metrology and measurement in general
;
03.120.30
Application of statistical methods
|
| ISO 5725-6:1994/Cor 1:2001 |
Accuracy (trueness and precision) of measurement methods and results — Part 6: Use in practice of accuracy values — Technical Corrigendum 1 |
|
Published |
2001-10 |
Edition : 1 |
Number of pages : 3 |
Technical Committee |
17.020
Metrology and measurement in general
;
03.120.30
Application of statistical methods
|
| ISO 5725:1981 |
Precision of test methods — Determination of repeatability and reproducibility by inter-laboratory tests |
|
Withdrawn |
1981-04 |
Edition : 1 |
Number of pages : 42 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 5725:1986 |
Precision of test methods — Determination of repeatability and reproducibility for a standard test method by inter-laboratory tests |
|
Withdrawn |
1986-09 |
Edition : 2 |
Number of pages : 49 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 7870-1:2007 |
Control charts — Part 1: General guidelines |
ISO 7870-1:2007 presents key elements and philosophy of the control chart approach, and identifies a wide variety of control charts (including those related to the Shewhart control chart and those stressing process acceptance or on-line process adjustment).
ISO 7870-1:2007 presents an overview of the basic principles and concepts and illustrates the relationship among various control chart approaches to aid in the selection of the most appropriate standard for given circumstances. It does not specify statistical control methods using control charts.
|
Withdrawn |
2007-10 |
Edition : 1 |
Number of pages : 15 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 7870-1:2014 |
Control charts — Part 1: General guidelines |
ISO 7870-1:2014 presents key elements and philosophy of the control chart approach, and identifies a wide variety of control charts (including those related to the Shewhart control chart, those stressing process acceptance or online process adjustment, and specialized control charts).
It presents an overview of the basic principles and concepts and illustrates the relationship among various control chart approaches to aid in the selection of the most appropriate standard for given circumstances. It does not specify statistical control methods using control charts. These methods will be specified in future parts of ISO 7870.
|
Withdrawn |
2014-02 |
Edition : 2 |
Number of pages : 16 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 7870-1:2019 |
Control charts — Part 1: General guidelines |
This document presents key elements and the philosophy of the control chart approach, and identifies a wide variety of control charts (including those related to the Shewhart control chart, those stressing process acceptance or online process adjustment, and specialized control charts).
It presents an overview of the basic principles and concepts of control charts and illustrates the relationship among various control chart approaches to aid in the selection of the most appropriate part of ISO 7870 for given circumstances. It does not specify statistical control methods using control charts. These methods are specified in the relevant parts of ISO 7870.
|
Published |
2019-11 |
Edition : 3 |
Number of pages : 19 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 7870-2:2013 |
Control charts — Part 2: Shewhart control charts |
ISO 7870-2:2013 establishes a guide to the use and understanding of the Shewhart control chart approach to the methods for statistical control of a process.
ISO 7870-2:2013 is limited to the treatment of statistical process control methods using only the Shewhart system of charts. Some supplementary material that is consistent with the Shewhart approach, such as the use of warning limits, analysis of trend patterns and process capability is briefly introduced. There are, however, several other types of control chart procedures, a general description of which can be found in ISO 7870-1.
|
Withdrawn |
2013-04 |
Edition : 1 |
Number of pages : 44 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 7870-2:2023 |
Control charts — Part 2: Shewhart control charts |
This document establishes a guide to the use and understanding of Shewhart control chart approach to the methods for statistical control of a process.
This document is limited to the treatment of statistical process control methods using only Shewhart system of charts. Some supplementary material that is consistent with Shewhart approach, such as the use of warning limits, analysis of trend patterns and process capability is briefly introduced. However, there are several other types of control charts which can be used in different situations.
|
Published |
2023-03 |
Edition : 2 |
Number of pages : 48 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 7870-3:2012 |
Control charts — Part 3: Acceptance control charts |
ISO 7870-3:2012 gives guidance on the uses of acceptance control charts and establishes general procedures for determining sample sizes, action limits and decision criteria. This chart should be used only when: a) the within subgroup variation is in-control and the variation is estimated efficiently; b) a high level of process capability has been achieved.
This chart is typically used when the process variable under study is normally distributed, however, it can be applied to a non-normal distribution. Examples are included to illustrate a variety of circumstances in which this technique has advantages and to provide details of the determination of the sample size, the action limits and the decision criteria.
|
Withdrawn |
2012-03 |
Edition : 1 |
Number of pages : 20 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 7870-3:2020 |
Control charts — Part 3: Acceptance control charts |
This document gives guidance on the uses of acceptance control charts and establishes general procedures for determining sample sizes, action limits and decision criteria. An acceptance control chart should be used only when:
a) the within subgroup variation is in-control and the variation is estimated efficiently;
b) a high level of process capability has been achieved.
An acceptance control chart is typically used when the process variable under study is normally distributed; however, it can be applied to a non-normal distribution. The examples provided in this document illustrate a variety of circumstances in which this technique has advantages; these examples provide details of the determination of the sample size, the action limits and the decision criteria.
|
Published |
2020-05 |
Edition : 2 |
Number of pages : 21 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 7870-4:2011 |
Control charts — Part 4: Cumulative sum charts |
ISO 7870-4:2011 provides statistical procedures for setting up cumulative sum (cusum) schemes for process and quality control using variables (measured) and attribute data. It describes general-purpose methods of decision-making using cumulative sum (cusum) techniques for monitoring, control and retrospective analysis.
|
Withdrawn |
2011-07 |
Edition : 1 |
Number of pages : 63 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 7870-4:2021 |
Control charts — Part 4: Cumulative sum charts |
This document describes statistical procedures for setting up cumulative sum (CUSUM) schemes for process and quality control using variables (measured) and attribute data. It describes general‑purpose methods of decision-making using cumulative sum (CUSUM) techniques for monitoring, control and retrospective analysis.
|
Published |
2021-09 |
Edition : 2 |
Number of pages : 50 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 7870-5:2014 |
Control charts — Part 5: Specialized control charts |
ISO 7870-5:2014 establishes a guide to the use and understanding of specialized control charts in situations where commonly used Shewhart control chart approach to the methods of statistical control of a process may either be not applicable or less efficient in detecting unnatural patterns of variation of the process.
|
Published |
2014-01 |
Edition : 1 |
Number of pages : 51 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 7870-6:2016 |
Control charts — Part 6: EWMA control charts |
ISO 7870-6:2016 covers EWMA control charts as a statistical process control technique to detect small shifts in the process mean. It makes possible the faster detection of small to moderate shifts in the process average. In this chart, the process average is evaluated in terms of exponentially weighted moving average of all prior sample means. EWMA weights samples in geometrically decreasing order so that the most recent samples are weighted most highly while the most distant samples contribute very little depending upon the smoothing parameter (λ).
|
Published |
2016-02 |
Edition : 1 |
Number of pages : 26 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO/DIS 7870-6 |
Control charts — Part 6: EWMA control charts for the process mean |
ISO 7870-6:2016 covers EWMA control charts as a statistical process control technique to detect small shifts in the process mean. It makes possible the faster detection of small to moderate shifts in the process average. In this chart, the process average is evaluated in terms of exponentially weighted moving average of all prior sample means. EWMA weights samples in geometrically decreasing order so that the most recent samples are weighted most highly while the most distant samples contribute very little depending upon the smoothing parameter (λ).
|
Under development |
|
Edition : 2 |
Number of pages : 29 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 7870-7:2020 |
Control charts — Part 7: Multivariate control charts |
This document describes the construction and use of multivariate control charts in statistical process control (SPC) and establishes methods for using and understanding this generalized approach to control charts where the characteristics being measured are from variables data.
The use of principal component analysis (PCA) and partial least squares (PLS) in the field of multivariate statistical process control is not presented in this document
NOTE The document describes the current state of the art of multivariate control charts that are being applied in practice nowadays. It does not describe the current state of scientific research on the topic.
|
Published |
2020-02 |
Edition : 1 |
Number of pages : 25 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 5347-0:1987/Cor 1:1990 |
Methods for the calibration of vibration and shock pick-ups — Part 0: Basic concepts — Technical Corrigendum 1 |
|
Withdrawn |
1990-09 |
Edition : 1 |
Number of pages : 2 |
Technical Committee |
17.160
Vibrations, shock and vibration measurements
|
| ISO 7870-8:2017 |
Control charts — Part 8: Charting techniques for short runs and small mixed batches |
ISO 7870-8:2017 describes ways of applying regular variables control charts to short runs and small mixed batches where the sample size for monitoring is restricted to one. It provides a set of tools to facilitate the understanding of sources of variation in such processes so that the processes can be better managed.
The charts described are process-focused rather than product-focused. The user can plot, monitor and control similar characteristics on different items, or different characteristics on an item, on a single control chart.
NOTE 1 The terms short run and small batch size are not well defined. Here, short run and small batch size are taken to mean only a few items are manufactured before a different item is then produced.
NOTE 2 For situations where the subgroup size is larger than one, other standards apply.
|
Published |
2017-04 |
Edition : 1 |
Number of pages : 31 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 7870-9:2020 |
Control charts — Part 9: Control charts for stationary processes |
This document describes the construction and applications of control charts for stationary processes.
|
Published |
2020-06 |
Edition : 1 |
Number of pages : 21 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 7870:1993 |
Control charts — General guide and introduction |
Presents key elements and philosophy of the control chart approach, and identifies a wide variety of control charts, including those related to the Shewhart control chart, the acceptance control chart and the adaptive control chart. Presents an overview of the basic principles and concepts and illustrates the relationship among various control chart approaches to aid in the selection of the most appropriate standard for given circumstances. Does not specify statistical control methods using control charts.
|
Withdrawn |
1993-12 |
Edition : 1 |
Number of pages : 9 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO/TR 7871:1997 |
Cumulative sum charts — Guidance on quality control and data analysis using CUSUM techniques |
Gives the principles of cusum charting and includes guidance on the preparation and interpretation of cusum charts using basic decision rules.
|
Withdrawn |
1997-02 |
Edition : 1 |
Number of pages : 40 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 7873:1993 |
Control charts for arithmetic average with warning limits |
Specifies procedures for the statistical control of processes by using control charts based on calculating the arithmetic average of a sample and using warning limits and action limits. It is assumed that for large lots and for the mass output of piece and batch production, such a measure of quality is a random variable following a normal distribution. However, when averages of four or more items are plotted, this assumption of a normal distribution is not necessary for control purposes.
|
Withdrawn |
1993-12 |
Edition : 1 |
Number of pages : 13 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 7966:1993 |
Acceptance control charts |
Gives guidance on the uses of acceptance control charts and establishes general procedures for determining sample sizes, action limits and decision criteria. Examples are included to illustrate a variety of circumstances in which this technique has advantages and to provide details of the determination of the sample size, the action limits and the decision criteria.
|
Withdrawn |
1993-12 |
Edition : 1 |
Number of pages : 21 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 8258:1991 |
Shewhart control charts |
Establishes a guide to the use and understanding of the control chart approach to the methods for statistical control of a process. Annex A is for information only.
|
Withdrawn |
1991-12 |
Edition : 1 |
Number of pages : 29 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 8258:1991/Cor 1:1993 |
Shewhart control charts — Technical Corrigendum 1 |
Adds in table 5, third column, first line "3" after "±".
|
Withdrawn |
1993-04 |
Edition : 1 |
Number of pages : 1 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 8422:1991 |
Sequential sampling plans for inspection by attributes |
The specified plans apply to: end items, components and raw materials, operations, materials in process, supplies in storage, maintenance operations, data or records, administrative procedures. Annexes A, B and C form an integral part of this standard.
|
Withdrawn |
1991-11 |
Edition : 1 |
Number of pages : 45 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 8422:1991/Cor 1:1993 |
Sequential sampling plans for inspection by attributes — Technical Corrigendum 1 |
Replaces the formula for p in subclause C.2.2, item b).
|
Withdrawn |
1993-09 |
Edition : 1 |
Number of pages : 1 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 22514-5:2019 |
Statistical methods in process management — Capability and performance — Part 5: Process capability estimates and performance for attributive characteristics |
This document describes a method to calculate process capability and performance indices for attribute characteristics. This method can be used as a supplement to the commonly used capability calculations for variable characteristics.
|
Published |
2019-08 |
Edition : 1 |
Number of pages : 10 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 8422:2006 |
Sequential sampling plans for inspection by attributes |
ISO 8422:2006 contains sequential sampling plans and procedures for inspection by attributes of discrete items. The plans are indexed in terms of the producer's risk point and the consumer's risk point. Therefore, they can be used not only for the purposes of acceptance sampling, but for a more general purpose of the verification of simple statistical hypotheses for proportions. ISO 8422:2006 provides procedures for sequential assessment of inspection results that may be used to induce the supplier, through the economic and psychological pressure of non-acceptance of lots of inferior quality, to supply lots of a quality having a high probability of acceptance. At the same time, the consumer is protected by a prescribed upper limit to the probability of accepting lots of poor quality.
ISO 8422:2006 provides sampling plans that are applicable, but not limited, to inspection of different fields, such as: end items, components and raw materials, operations, materials in process, supplies in storage, maintenance operations, data or records, and administrative procedures.
The sampling plans from ISO 8422:2006 should primarily be used for the analysis of samples taken from processes. For example, they may be used for the acceptance sampling of lots taken from a process that is under statistical control. However, they may also be used for the acceptance sampling of an isolated lot when its size is large, and the expected fraction nonconforming is small (significantly smaller than 10%).
In the case of the acceptance sampling of continuing series of lots, the system of sequential sampling plans indexed by acceptance quality limit (AQL) for lot-by-lot inspection published in ISO 2859-5 should be applied.
|
Withdrawn |
2006-10 |
Edition : 2 |
Number of pages : 32 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 8423:1991 |
Sequential sampling plans for inspection by variables for percent nonconforming (known standard deviation) |
Applies if all of the following conditions are satisfied: a) inspected are continuing series of lots of discrete items supplied by one producer from one production process; b) only a single quality characteristic x is taken into consideration; c) production is stable and x has a known standard deviation; d) an upper or lower limit (or both) is defined.
|
Withdrawn |
1991-11 |
Edition : 1 |
Number of pages : 39 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 8423:1991/Cor 1:1993 |
Sequential sampling plans for inspection by variables for percent nonconforming (known standard deviation) — Technical Corrigendum 1 |
Amends values in table 1 and subclause C.2.3 and equations in subclauses 3.2.2.1 and 3.2.3.1.
|
Withdrawn |
1993-09 |
Edition : 1 |
Number of pages : 1 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 8423:2008 |
Sequential sampling plans for inspection by variables for percent nonconforming (known standard deviation) |
ISO 8423:2008 specifies sequential sampling plans and procedures for inspection by variables of discrete items. The plans are indexed in terms of producer's risk point and the consumer's risk point. Therefore, they are suitable not only for the purposes of acceptance sampling, but for the more general purpose of the testing of simple statistical hypotheses for proportions. The purpose of ISO 8423:2008 is to provide procedures for the sequential assessment of inspection results that may be used to induce the supplier to supply lots of a quality having a high probability of acceptance. At the same time, the consumer is protected by a prescribed upper limit to the probability of accepting a lot (or process) of poor quality.
ISO 8423:2008 is primarily designed for use under the following conditions: where the inspection procedure is to be applied to a continuing series of lots of discrete products all supplied by one producer using one production process; where only a single quality characteristic of these products is taken into consideration, which must be measurable on a continuous scale; where the measurement error is negligible (i.e. with a standard deviation no more than 10 % of the process standard deviation); where production is stable (under statistical control) and the quality characteristic has a known standard deviation, and is distributed according to a normal distribution or a close approximation to the normal distribution; where a contract or standard defines an upper specification limit, a lower specification limit, or both. It is assumed that, where double specification limits apply, conformance to both specification limits is either equally important to the integrity of the product or is considered separately for both specification limits.
The procedures in ISO 8423:2008 are not suitable for application to lots that have been screened previously for nonconforming items.
|
Withdrawn |
2008-09 |
Edition : 2 |
Number of pages : 32 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO/TR 8550-1:2007 |
Guidance on the selection and usage of acceptance sampling systems for inspection of discrete items in lots — Part 1: Acceptance sampling |
ISO TR 8550-1:2007 gives general guidance on the selection of an acceptance sampling system, scheme or plan. It does this principally in the context of standards that either already exist or are presently under development.
The guidance is confined to acceptance sampling of products that are supplied in lots and that can be classified as consisting of discrete items (i.e. discrete articles of product). It is assumed that each item in a lot can be identified and segregated from the other items in the lot and has an equal chance of being included in the sample. Each item of product is countable and has specific characteristics that are measurable or classifiable as being conforming or nonconforming (to a given product specification).
Standards on acceptance sampling are typically generic, as a result of which they can be applied to a wide variety of inspection situations. These include, but are not limited to, the following: end items, such as complete products or sub-assemblies; components and raw materials; services; materials in process; supplies in storage; maintenance operations; data or records; and administrative procedures.
Although ISO TR 8550-1:2007 is written principally in terms of manufacture and production, this should be interpreted liberally, as it is applicable to the selection of sampling systems, schemes and plans for all types of products and processes as defined in ISO 9000.
|
Published |
2007-06 |
Edition : 1 |
Number of pages : 38 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO/TR 8550-2:2007 |
Guidance on the selection and usage of acceptance sampling systems for inspection of discrete items in lots — Part 2: Sampling by attributes |
ISO/TR 8550-2:2007 provides guidance for acceptance sampling of products that are supplied in lots and that can be classified as consisting of discrete items (i.e. discrete articles of product). Each item in a lot can be identified and segregated from the other items in the lot and has an equal chance of being included in the sample. Each item of product is countable and has specific characteristics that are measurable or classifiable as being conforming or nonconforming (to a given specification).
Standards on acceptance sampling by attributes are applicable to a wide variety of inspection situations. These include, but are not limited to, the following: end items, such as complete products or sub-assemblies; components and raw materials; services; materials in process; supplies in storage; maintenance operations; data or records; administrative procedures.
Although ISO/TR 8550-2:2007 is written principally in terms of manufacture and production, it is applicable to the selection of sampling systems, schemes and plans for all types of product and processes as defined in ISO 9000.
|
Published |
2007-10 |
Edition : 1 |
Number of pages : 14 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO/TR 8550-3:2007 |
Guidance on the selection and usage of acceptance sampling systems for inspection of discrete items in lots — Part 3: Sampling by variables |
ISO/TR 8550-3:2007 provides guidance for acceptance sampling of products that are supplied in lots and that can be classified as consisting of discrete items (i.e. discrete articles of product). Each item in a lot can be identified and segregated from the other items in the lot and has an equal chance of being included in the sample. Each item of product is countable and has specific characteristics that are measurable on a continuous scale. Each characteristic has, at least to a good approximation, a normal distribution or a distribution that can be transformed so that it closely resembles a normal distribution.
Standards on acceptance sampling by variables are applicable to a wide variety of inspection situations. These include, but are not limited to, the following: end items, such as complete products or sub-assemblies; components and raw materials; services; materials in process; supplies in storage; maintenance operations; data or records; administrative procedures.
Although ISO/TR 8550-3:2007 is written principally in terms of manufacture and production, it should be interpreted liberally as it is applicable to the selection of sampling systems, schemes and plans for all types of product and processes as defined in ISO 9000.
|
Published |
2007-06 |
Edition : 1 |
Number of pages : 40 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO/TR 8550:1994 |
Guide for the selection of an acceptance sampling system, scheme or plan for inspection of discrete items in lots |
Describes the selection process, general considerations influencing a selection, making a comparison of the methods for sampling inspection, other methods sometimes adopted in practice, market and production conditions - effect on the selection process, the final selection. Is applicable to a wide variety of inspection situations including end items (e.g. complete products or sub-assemblies), components and raw materials, services, materials in process, supplies in storage, maintenance operations, data or records.
|
Withdrawn |
1994-03 |
Edition : 1 |
Number of pages : 48 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 8595:1989 |
Interpretation of statistical data — Estimation of a median |
Describes procedures for establishing the point estimate and the confidence intervals of a median of a probability distribution of a population, based on a random sample of size n from the population. These procedures give a method of distribution-free estmation and can be applied also to estimate quartiles and/or percentiles. Valid for any continous population, provided that the sample is drawn at random.
|
Withdrawn |
1989-12 |
Edition : 1 |
Number of pages : 3 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 10017:2021 |
Quality management — Guidance on statistical techniques for ISO 9001:2015 |
This document gives guidelines for the selection of appropriate statistical techniques that can be useful to an organization, irrespective of size or complexity, in developing, implementing, maintaining and improving a quality management system in conformity with ISO 9001:2015.
This document does not provide guidance on how to use the statistical techniques.
|
Published |
2021-07 |
Edition : 1 |
Number of pages : 30 |
Technical Committee |
03.120.10
Quality management and quality assurance
;
03.120.30
Application of statistical methods
|
| ISO/TR 10017:1999 |
Guidance on statistical techniques for ISO 9001:1994 |
|
Withdrawn |
1999-09 |
Edition : 1 |
Number of pages : 24 |
Technical Committee |
03.100.70
Management systems
;
03.120.30
Application of statistical methods
|
| ISO/TR 10017:2003 |
Guidance on statistical techniques for ISO 9001:2000 |
ISO/TR 10017:2003 provides guidance on the selection of appropriate statistical techniques that may be useful to an organization in developing, implementing, maintaining and improving a quality management system in compliance with ISO 9001. This is done by examining those requirements of ISO 9001 that involve the use of quantitative data, and then identifying and describing the statistical techniques that can be useful when applied to such data.
The list of statistical techniques cited in ISO/TR 10017:2003 is neither complete nor exhaustive, and does not preclude the use of any other techniques (statistical or otherwise) that are deemed to be beneficial to the organization. Furthermore, ISO/TR 10017:2003 does not attempt to prescribe which statistical technique(s) are to be used; nor does it attempt to advise on how the technique(s) are to be implemented.
ISO/TR 10017:2003 is not intended for contractual, regulatory or certification/registration purposes. It is not intended to be used as a mandatory checklist for compliance with ISO 9001:2000 requirements. The justification for using statistical techniques is that their application would help to improve the effectiveness of the quality management system.
|
Withdrawn |
2003-05 |
Edition : 2 |
Number of pages : 26 |
Technical Committee |
03.120.10
Quality management and quality assurance
;
03.120.30
Application of statistical methods
|
| ISO 10576-1:2003 |
Statistical methods — Guidelines for the evaluation of conformity with specified requirements — Part 1: General principles |
ISO 10576-1:2002 sets out guidelines for drafting requirements that may be formulated as limiting values for a quantifiable characteristic and for checking conformity to such requirements when the test or measurement result is subject to uncertainty.
It is applicable whenever the uncertainty may be quantified according to the principles laid down in the Guide to the expression of uncertainty in measurement. The term uncertainty is thus a descriptor for all elements of variation in the measurement result, including uncertainty due to sampling.
It is outside the scope of ISO 10576-1:2002 to give rules for how to act when an inconclusive result of a conformity test has been obtained.
|
Withdrawn |
2003-03 |
Edition : 1 |
Number of pages : 15 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 10576:2022 |
Statistical methods — Guidelines for the evaluation of conformity with specified requirements |
This document sets out guidelines for checking conformity with quantifiable characteristics using the test or measurement result and its associated measurement uncertainty.
This document is applicable whenever the uncertainty may be quantified according to the principles laid down in ISO/IEC Guide‑98‑3 (GUM). The term uncertainty is thus a descriptor for all elements of variation in the measurement result, including uncertainty due to sampling.
This document does not give rules for how to act when an inconclusive result of a conformity test has been obtained.
NOTE There are not limitations on the nature of the entity subject to the requirements nor on the quantifiable characteristic. Examples of entities together with quantifiable characteristics are given in Table A.1.
|
Published |
2022-08 |
Edition : 1 |
Number of pages : 14 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 10725:2000 |
Acceptance sampling plans and procedures for the inspection of bulk materials |
|
Published |
2000-12 |
Edition : 1 |
Number of pages : 72 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 11095:1996 |
Linear calibration using reference materials |
Outlines the general principles needed to calibrate a measurement system and to maintain that system in a state of statistical control. Provides a basic method for estimating a linear calibration function, a control method for extended use of a calibration function and two alternative methods to the basic method.
|
Published |
1996-02 |
Edition : 1 |
Number of pages : 29 |
Technical Committee |
17.020
Metrology and measurement in general
;
03.120.30
Application of statistical methods
|
| ISO 11453:1996 |
Statistical interpretation of data — Tests and confidence intervals relating to proportions |
Describes specific statistical methods for the interpretation of data and for determining the two-sided confidence limits for a desired confidence level.
|
Published |
1996-05 |
Edition : 1 |
Number of pages : 57 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 11453:1996/Cor 1:1999 |
Statistical interpretation of data — Tests and confidence intervals relating to proportions — Technical Corrigendum 1 |
|
Published |
1999-09 |
Edition : 1 |
Number of pages : 1 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 11462-1:2001 |
Guidelines for implementation of statistical process control (SPC) — Part 1: Elements of SPC |
Statistical process control (SPC) concerns the use of statistical techniques and/or statistical or stochastic control
algorithms to achieve one or more of the following objectives:
a) to increase knowledge about a process;
b) to steer a process to behave in the desired way;
c) to reduce variation of final-product parameters, or in other ways improve performance of a process.
These guidelines give the elements for implementing an SPC system to achieve these objectives. The common
economic objective of statistical process control is to increase good process outputs produced for a given amount
of resource inputs.
NOTE 1 SPC operates most efficiently by controlling variation of a process parameter or an in-process product parameter
that is correlated with a final-product parameter; and/or by increasing the process's robustness against this variation. A
supplier's final-product parameter may be a process parameter to the next downstream supplier's process.
NOTE 2 Although SPC is concerned with manufactured goods, it is also applicable to processes producing services or
transactions (for example, those involving data, communications, software, or movement of materials).
This part of ISO 11462 specifies SPC system guidelines for use
_ when a supplier's capability to reduce variation in processes associated with design or production needs to be
proven or improved; or
_ when a supplier is beginning SPC implementation to achieve such capability.
These guidelines are not intended for contractual, regulatory or certification use.
|
Published |
2001-06 |
Edition : 1 |
Number of pages : 23 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 11462-2:2010 |
Guidelines for implementation of statistical process control (SPC) — Part 2: Catalogue of tools and techniques |
ISO 11462-2:2010 provides a catalogue of tools and techniques to help an organization in planning, implementation and evaluation of an effective statistical process control (SPC) system. This catalogue gives tools and techniques that are essential for the successful realization of the SPC elements.
|
Published |
2010-09 |
Edition : 1 |
Number of pages : 12 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO/TR 11462-3:2020 |
Guidelines for implementation of statistical process control (SPC) — Part 3: Reference data sets for SPC software validation |
This document describes examples for software validation for SPC software implementing the standards of the ISO 7870 series on control charts and the ISO 22514 series on capability and performance. In detail ISO 7870‑2, ISO 22514‑2 and ISO 22514‑8 are covered.
It provides data sets and test results for testing the implementation of the evaluation methods described in these standards. This includes the detection of out of control situations as well as the calculation of sample statistics and process capability indices.
The test examples cover the following situations:
a) General:
— different sample and subgroup sizes, accuracy of calculation for large/small numbers;
b) ISO 22514 series:
— calculation of sample statistics for location and dispersion;
— different distribution models;
c) ISO 7870‑2:
— calculation of control limits;
— visualization of data (histogram, control charts);
— detection of out of control situations.
|
Published |
2020-06 |
Edition : 1 |
Number of pages : 129 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO/TR 11462-4:2022 |
Guidelines for implementation of statistical process control (SPC) — Part 4: Reference data sets for measurement process analysis software validation |
This document describes examples for software validation for software implementing the standards of ISO 22514‑7 on the capability of measurement processes. In detail, the following standards are covered:
— ISO 22514‑7.
It provides data sets and test results for testing the implementation of the evaluation methods described in these standards. This includes:
a) the calculation of standard uncertainties from other sources (other than experiments – type B – ISO/IECGuide 98‑3);
b) the estimation of uncertainty components using repeated measurements on reference parts;
c) the estimation of uncertainty components using repeated measurements on multiple parts with different operators and their evaluation using the ANOVA method;
d) the combination of uncertainty components using the Gaussian law of uncertainty propagation;
e) the calculation of measurement process capability indices;
f) the influence of operators on attributive measurements;
g) the uncertainty range and capability indices for attributive measurements.
The test examples are intended to cover the calculation of the measuring system capability and measurement process capability according to ISO 22514‑7.
|
Published |
2022-02 |
Edition : 1 |
Number of pages : 32 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO/CD TR 11462-5 |
Guidelines for implementation of statistical process control (SPC) — Part 5: Quality data exchange format for SPC software |
This document describes a data format for the exchange of quality information:
The data format is distinguished by a transparent structure that is easy to edit;
It is flexible, space saving and easily be copied and compacted;
All files are language independent because of the allocation of an explicit key to a language independent field, the content of which can be translated into any language required.
|
Under development |
|
Edition : 1 |
|
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 11648-1:2003 |
Statistical aspects of sampling from bulk materials — Part 1: General principles |
ISO 11648-1:2002 establishes the general principles for the application and statistical treatment of the sampling of bulk materials. It also provides general guidance and examples for estimating necessary variances and checking precision and bias when the average value of a quality characteristic is investigated. Furthermore, this part of ISO 11648-1:2002 gives information relating to the statistical analyses of serial data, by the use of variograms and correlograms.
ISO 11648-1:2002 also defines the basic terms with definitions for the sampling of bulk materials. These terms are necessary for providing a better understanding of sampling techniques as well as making it easier to fulfil requirements.
|
Published |
2003-03 |
Edition : 1 |
Number of pages : 92 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 11648-2:2001 |
Statistical aspects of sampling from bulk materials — Part 2: Sampling of particulate materials |
|
Published |
2001-10 |
Edition : 1 |
Number of pages : 102 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 11843-1:1997 |
Capability of detection — Part 1: Terms and definitions |
|
Published |
1997-07 |
Edition : 1 |
Number of pages : 10 |
Technical Committee |
17.020
Metrology and measurement in general
;
01.040.03
Services. Company organization, management and quality. Administration. Transport. Sociology. (Vocabularies)
;
03.120.30
Application of statistical methods
|
| ISO 11843-1:1997/Cor 1:2003 |
Capability of detection — Part 1: Terms and definitions — Technical Corrigendum 1 |
|
Published |
2003-11 |
Edition : 1 |
Number of pages : 2 |
Technical Committee |
17.020
Metrology and measurement in general
;
01.040.03
Services. Company organization, management and quality. Administration. Transport. Sociology. (Vocabularies)
;
03.120.30
Application of statistical methods
|
| ISO 11843-2:2000 |
Capability of detection — Part 2: Methodology in the linear calibration case |
|
Published |
2000-05 |
Edition : 1 |
Number of pages : 24 |
Technical Committee |
17.020
Metrology and measurement in general
;
03.120.30
Application of statistical methods
|
| ISO 11843-2:2000/Cor 1:2007 |
Capability of detection — Part 2: Methodology in the linear calibration case — Technical Corrigendum 1 |
|
Published |
2007-10 |
Edition : 1 |
Number of pages : 2 |
Technical Committee |
17.020
Metrology and measurement in general
;
03.120.30
Application of statistical methods
|
| ISO 13053-1:2011 |
Quantitative methods in process improvement — Six Sigma — Part 1: DMAIC methodology |
ISO 13053-1:2011 describes a methodology for the business improvement methodology known as Six Sigma. The methodology typically comprises five phases: define, measure, analyse, improve and control (DMAIC).
ISO 13053-1:2011 recommends the preferred or best practice for each of the phases of the DMAIC methodology used during the execution of a Six Sigma project. It also recommends how Six Sigma projects should be managed and describes the roles, expertise and training of the personnel involved in such projects. It is applicable to organizations using manufacturing processes as well as service and transactional processes.
|
Published |
2011-09 |
Edition : 1 |
Number of pages : 32 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 11843-3:2003 |
Capability of detection — Part 3: Methodology for determination of the critical value for the response variable when no calibration data are used |
ISO 11843-3:2003 gives a method of estimating the critical value of the response variable from the mean and standard deviation of repeated measurements of the reference state in certain situations in which the value of the net state variable is zero, for all reasonable and foreseeable purposes. Hence, it can be decided whether values of the response variable in an actual state (or test sample) are above the range of values attributable to the reference state.
General procedures for determination of critical values of the response variable and the net state variable and of the minimum detectable value have been given in ISO 11843-2. Those procedures are applicable in situations in which there is relevant straight-line calibration and the residual standard deviation of the measured responses is either constant or is a linear function of the net state variable. The procedure given in this part of ISO 11843 for the determination of the critical value of the response variable only is recommended for situations in which no calibration data are used. The distribution of data is assumed to be normal or near-normal.
The procedure given in this part of ISO 11843 is recommended for situations in which it is difficult to obtain a large amount of the actual states although a large amount of the basic state can be prepared.
|
Published |
2003-04 |
Edition : 1 |
Number of pages : 9 |
Technical Committee |
17.020
Metrology and measurement in general
;
03.120.30
Application of statistical methods
|
| ISO 11843-4:2003 |
Capability of detection — Part 4: Methodology for comparing the minimum detectable value with a given value |
ISO 11843-4:2003 deals with the assessment of the capability of detection of a measurement method without the assumptions in ISO 11843-2 of a linear calibration curve and certain relationships between the residual standard deviation and the value of the net state variable
Instead of estimating the minimum detectable value, ISO 11843-4:2003 provides a criterion for judging whether the minimum detectable value is less than a given level of the net state variable, and the basic experimental design for testing the conformity of this criterion.
|
Published |
2003-11 |
Edition : 1 |
Number of pages : 8 |
Technical Committee |
17.020
Metrology and measurement in general
;
03.120.30
Application of statistical methods
|
| ISO 11843-5:2008 |
Capability of detection — Part 5: Methodology in the linear and non-linear calibration cases |
ISO 11843-5:2008 is concerned with calibration functions that are either linear or non-linear. It specifies basic methods to construct a precision profile for the response variable, namely a description of the standard deviation or coefficient of variation of the response variable as a function of the net state variable, transform this precision profile into a precision profile for the net state variable in conjunction with the calibration function, and use the latter precision profile to estimate the critical value and minimum detectable value of the net state variable.
The methods described ISO 11843-5:2008 are useful for checking the detection of a certain substance by various types of measurement equipment to which ISO 11843-2 cannot be applied. Included are assays of persistent organic pollutants (POPs) in the environment, such as dioxins, pesticides and hormone-like chemicals, by competitive ELISA (enzyme-linked immunosorbent assay), and tests of bacterial endotoxins that induce hyperthermia in humans.
The definition and applicability of the critical value and minimum detectable value of the net state variable are described in ISO 11843-1 and ISO 11843-2. ISO 11843-5:2008 extends the concepts in ISO 11843-2 to the cases of non-linear calibration. Examples are provided.
|
Published |
2008-06 |
Edition : 1 |
Number of pages : 15 |
Technical Committee |
17.020
Metrology and measurement in general
;
03.120.30
Application of statistical methods
|
| ISO 11843-5:2008/Amd 1:2017 |
Capability of detection — Part 5: Methodology in the linear and non-linear calibration cases — Amendment 1 |
|
Published |
2017-05 |
Edition : 1 |
Number of pages : 1 |
Technical Committee |
17.020
Metrology and measurement in general
;
03.120.30
Application of statistical methods
|
| ISO 11843-6:2013 |
Capability of detection — Part 6: Methodology for the determination of the critical value and the minimum detectable value in Poisson distributed measurements by normal approximations |
ISO 11843-6:2013 presents methods for determining the critical value of the response variable and the minimum detectable value in Poisson distribution measurements. It is applicable when variations in both the background noise and the signal are describable by the Poisson distribution. The conventional approximation is used to approximate the Poisson distribution by the normal distribution consistent with ISO 11843-3 and ISO 11843-4.
The accuracy of the normal approximation as compared to the exact Poisson distribution is discussed.
|
Withdrawn |
2013-03 |
Edition : 1 |
Number of pages : 20 |
Technical Committee |
17.020
Metrology and measurement in general
;
03.120.30
Application of statistical methods
|
| ISO 11843-6:2019 |
Capability of detection — Part 6: Methodology for the determination of the critical value and the minimum detectable value in Poisson distributed measurements by normal approximations |
This document presents methods for determining the critical value of the response variable and the minimum detectable value in Poisson distribution measurements. It is applicable when variations in both the background noise and the signal are describable by the Poisson distribution. The conventional approximation is used to approximate the Poisson distribution by the normal distribution consistent with ISO 11843‑3 and ISO 11843‑4.
The accuracy of the normal approximation as compared to the exact Poisson distribution is discussed in Annex C.
|
Published |
2019-02 |
Edition : 2 |
Number of pages : 23 |
Technical Committee |
17.020
Metrology and measurement in general
;
03.120.30
Application of statistical methods
|
| ISO 11843-7:2012 |
Capability of detection — Part 7: Methodology based on stochastic properties of instrumental noise |
Background noise ubiquitously exists in analytical instruments whether or not a sample is applied to the instrument. ISO 11843-7:2012 is concerned with mathematical methodologies for estimating the minimum detectable value in case that the most predominant source of measurement uncertainty is background noise. The minimum detectable value can directly and mathematically be derived from the stochastic characteristics of the background noise.
It specifies basic methods to
? extract the stochastic properties of the background noise,
? use the stochastic properties to estimate the standard deviation (SD) or coefficient of variation (CV) of the response variable, and
? calculate the minimum detectable value based on the SD or CV obtained above.
The methods described in ISO 11843-7:2012 are useful for checking the detection of a certain substance by various types of measurement equipment in which the background noise of the instrumental output predominates over the other sources of measurement uncertainty. Feasible choices are visible and ultraviolet absorption spectrometry, atomic absorption spectrometry, atomic fluorescence spectrometry, luminescence spectrometry, liquid chromatography and gas chromatography.
|
Withdrawn |
2012-06 |
Edition : 1 |
Number of pages : 17 |
Technical Committee |
17.020
Metrology and measurement in general
;
03.120.30
Application of statistical methods
|
| ISO 11843-7:2018 |
Capability of detection — Part 7: Methodology based on stochastic properties of instrumental noise |
Background noise exists ubiquitously in analytical instruments, whether or not a sample is applied to the instrument. This document is concerned with mathematical methodologies for estimating the minimum detectable value in case that the most predominant source of measurement uncertainty is background noise. The minimum detectable value can directly and mathematically be derived from the stochastic characteristics of the background noise.
This document specifies basic methods to
— extract the stochastic properties of the background noise,
— use the stochastic properties to estimate the standard deviation (SD) or coefficient of variation (CV) of the response variable, and
— calculate the minimum detectable value based on the SD or CV obtained above.
The methods described in this document are useful for checking the detection of a certain substance by various types of measurement equipment in which the background noise of the instrumental output predominates over the other sources of measurement uncertainty. Feasible choices are visible and ultraviolet absorption spectrometry, atomic absorption spectrometry, atomic fluorescence spectrometry, luminescence spectrometry, liquid chromatography and gas chromatography.
|
Published |
2018-09 |
Edition : 2 |
Number of pages : 18 |
Technical Committee |
17.020
Metrology and measurement in general
;
03.120.30
Application of statistical methods
|
| ISO/CD 11843-7 |
Capability of detection — Part 7: Methodology based on stochastic properties of instrumental noise |
Background noise exists ubiquitously in analytical instruments, whether or not a sample is applied to the instrument. This document is concerned with mathematical methodologies for estimating the minimum detectable value in case that the most predominant source of measurement uncertainty is background noise. The minimum detectable value can directly and mathematically be derived from the stochastic characteristics of the background noise.
This document specifies basic methods to
— extract the stochastic properties of the background noise,
— use the stochastic properties to estimate the standard deviation (SD) or coefficient of variation (CV) of the response variable, and
— calculate the minimum detectable value based on the SD or CV obtained above.
The methods described in this document are useful for checking the detection of a certain substance by various types of measurement equipment in which the background noise of the instrumental output predominates over the other sources of measurement uncertainty. Feasible choices are visible and ultraviolet absorption spectrometry, atomic absorption spectrometry, atomic fluorescence spectrometry, luminescence spectrometry, liquid chromatography and gas chromatography.
|
Under development |
|
Edition : 3 |
|
Technical Committee |
17.020
Metrology and measurement in general
;
03.120.30
Application of statistical methods
|
| ISO/TR 11843-8:2021 |
Capability of detection — Part 8: Guidance for the implementation of the ISO 11843 series |
This document provides guidance for implementing the theories of the ISO 11843 series in various practical situation. As defined in this series, the term minimum detectable value corresponds to the limit of detection or detection limit defined by the IUPAC. The focus of interest is placed on the practical applications of statistics to quantitative analyses.
|
Published |
2021-11 |
Edition : 1 |
Number of pages : 38 |
Technical Committee |
17.020
Metrology and measurement in general
;
03.120.30
Application of statistical methods
|
| ISO/TR 12845:2010 |
Selected illustrations of fractional factorial screening experiments |
ISO/TR 12845:2010 describes the steps necessary to use and to analyse two-level fractional factorial designs through illustration with six distinct applications of this methodology.
|
Published |
2010-08 |
Edition : 1 |
Number of pages : 80 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO/TR 12888:2011 |
Selected illustrations of gauge repeatability and reproducibility studies |
ISO/TR 12888:2011 describes the measurement process where the characteristic(s) being measured is a continuous variable. Measurement processes where the characteristic(s) of interest is an attribute (i.e. pass/fail) are not treated in this document.
ISO/TR 12888:2011 provides examples of simple measurement systems and gives usable results as used in industry where there are two major factors contributing to the variation of the measurement results, such as variation between operators or appraisers and within operators or appraisers.
|
Published |
2011-08 |
Edition : 1 |
Number of pages : 40 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO/TR 13195:2015 |
Selected illustrations of response surface method — Central composite design |
ISO/TR 13195:2015 describes the steps necessary to understand the scope of Response Surface Methodology (RSM) and the method to analyse data collected using Central Composite Designs (CCD) through illustration with four distinct applications of this methodology.
Response surface methodology (RSM) is used in order to investigate a relation between the response and the set of quantitative predictor variables or factors. Especially after specifying the vital few controllable factors, RSM is used in order to find the factor setting which optimizes the response.
|
Published |
2015-12 |
Edition : 1 |
Number of pages : 80 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO/TR 13425:1995 |
Guide for the selection of statistical methods in standardization and specification |
Describes the International Standards and guides for the selection of statistical methods prepared by ISO/TC 69. Annex A gives a survey of the content of the referenced standards and contains technical abstracts of all these documents.
|
Withdrawn |
1995-11 |
Edition : 1 |
Number of pages : 21 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO/TR 13425:2003 |
Guidelines for the selection of statistical methods in standardization and specification |
ISO/TR 13425:2003 gives guidance on the selection and an overview of all the referenced standards, guides, technical reports and DIS developed by ISO/TC 69 from a user prospective. DIS are drafts which can be amended. Both categories are documents, which are available to the public. ISO/TR 13425:2003 also gives two descriptions of the content of the standards by two sets of abstracts: non-technical abstracts and technical abstracts of all these documents. Each abstract presents a brief survey of the content of the actual standard or DIS. It also gives some indications of the use of the document in different areas.
Annex A gives the non-technical and technical abstracts. The non-technical abstracts are usually brief. In these abstracts, the number of technical terms are kept to a minimum. They should give brief outlines of the actual documents. The technical abstracts are somewhat longer. More technical terms are used. The technical abstracts also go more into depth with regard to the content and the use of the actual document than the non-technical abstracts. For many documents, the two abstracts supplement each other.
Annex B lists the committee drafts, working drafts and new work item proposals in the ISO/TC 69 work program.
|
Withdrawn |
2003-11 |
Edition : 2 |
Number of pages : 28 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO/TR 13425:2006 |
Guidelines for the selection of statistical methods in standardization and specification |
ISO/TR 13425:2006 gives guidance on the selection and an overview of all the referenced standards, guides, technical reports and DIS developed by ISO/TC 69 from a user prospective. DIS are drafts which can be amended. Both categories are documents, which are available to the public. ISO/TR 13425:2006 also gives two descriptions of the content of the standards by two sets of abstracts: non-technical abstracts and technical abstracts of all these documents. Each abstract presents a brief survey of the content of the actual standard or DIS. It also gives some indications of the use of the document in different areas.
Annex A gives the non-technical and technical abstracts. The non-technical abstracts are usually brief. In these abstracts, the number of technical terms are kept to a minimum. They give brief outlines of the actual documents. The technical abstracts are somewhat longer. More technical terms are used. The technical abstracts also go more into depth with regard to the content and the use of the actual document than the non-technical abstracts. For many documents, the two abstracts supplement each other.
Annex B lists the committee drafts, working drafts and new work item proposals in the ISO/TC 69 work program.
|
Withdrawn |
2006-03 |
Edition : 3 |
Number of pages : 37 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 13448-1:2005 |
Acceptance sampling procedures based on the allocation of priorities principle (APP) — Part 1: Guidelines for the APP approach |
ISO 13448-1:2005 provides guidelines specifying the organizational principles of acceptance sampling in situations where the contract or the legislation provides for successive inspection to be carried out by different parties: the supplier, the customer and/or a third party.
These guidelines are designed for inspection of populations of any product supplied or delivered in discrete items in lots. They are applicable to supplier inspection (final inspection, product certification upon supplier's request), customer inspection (incoming inspection, audit inspection, acceptance sampling), and third-party inspection (certification of product, inspection and supervision for observance of International Standard requirements, quality inspection carried out at the supplier, and/or customer, request), where the quality levels and the lot acceptability criteria are specified unilaterally by the supplier or contractually by the supplier and the customer.
These guidelines are also applicable to situations when only one sampling inspection is actually needed.
The guidelines provided can be applied in developing standards on acceptance sampling for standard inspection models, specific items or quality levels, as well as in developing contracts, specifications and instructions. In contractual use of the APP, the parties concerned should acknowledge in the contract that they approve of its principles (also by referring to the present guidelines). The parties may also provide for the use of the APP in disputes and arbitration.
|
Withdrawn |
2005-03 |
Edition : 1 |
Number of pages : 25 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 22514-7:2012 |
Statistical methods in process management — Capability and performance — Part 7: Capability of measurement processes |
ISO 22514-7:2012 defines a procedure to validate measuring systems and a measurement process in order to state whether a given measurement process can satisfy the requirements for a specific measurement task with a recommendation of acceptance criteria. The acceptance criteria are defined as a capability figure or a capability ratio.
|
Withdrawn |
2012-09 |
Edition : 1 |
Number of pages : 46 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 13448-2:2004 |
Acceptance sampling procedures based on the allocation of priorities principle (APP) — Part 2: Coordinated single sampling plans for acceptance sampling by attributes |
ISO 13448-2:2004 provides attributes sampling procedures and single sampling plans for successive independent inspections of the same lot conducted by the supplier, consumer and/or a third party.
ISO 13448-2:2004 addresses supplier inspection (final inspection, product certification upon supplier's request), consumer inspection (incoming inspection, surveillance, acceptance sampling), and third party inspection.
ISO 13448-2:2004 may also be applicable when only one inspection is needed.
A catalogue of single sampling plans is given, indexed by the normative quality limits (NQLs).
ISO 13448-2:2004 provides sampling procedures for finished product, components and discrete items, operations; discrete items and the processes that produce them, and data and records.
Attributes sampling procedures are provided for inspection of an isolated lot or a continuing series of lots of a discrete product. These procedures are applicable when a normative quality limit (NQL) is given expressed in terms of percent nonconforming or nonconformities per 100 items.
ISO 13448-2:2004 provides a co-ordinated system of supplier, consumer and third party acceptance sampling procedures. It is also applicable to the case where a supplier individually, or on agreement with a consumer, in a contract, specifies a lot quality criterion expressed in terms of an NQL. In either case, it provides a coherent methodology for designating lots as satisfactory or unsatisfactory for shipment and proposed use.
|
Withdrawn |
2004-12 |
Edition : 1 |
Number of pages : 50 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO/TR 13519:2012 |
Guidance on the development and use of ISO statistical publications supported by software |
ISO/TR 13519:2012 provides guidance on the development and use of ISO publications supported by software. The software largely relates to statistical calculations considered by the subcommittees of ISO/TC 69, Application of statistical methods, but many other numerical calculations are covered by similar considerations.
In terms of the development of ISO publications, ISO/TR 13519:2012 gives guidance on the traceability of data products (figures, tables and other numerical results) reproduced in normative-type documents.
In terms of assisting users of ISO publications, ISO/TR 13519:2012 gives guidance on information that should be included in ISO publications regarding software specification, categories of support for software, and software performance including the use of reference data sets for testing purposes.
Examples are included that illustrate aspects of the guidance provided.
|
Published |
2012-09 |
Edition : 1 |
Number of pages : 15 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 13528:2005 |
Statistical methods for use in proficiency testing by interlaboratory comparisons |
ISO 13528:2005 complements ISO Guide 43 (all parts) by providing detailed descriptions of sound statistical methods for organizers to use to analyse the data obtained from proficiency testing schemes, and by giving recommendations on their use in practice by participants in such schemes and by accreditation bodies.
ISO 13528:2005 can be applied to demonstrate that the measurement results obtained by laboratories do not exhibit evidence of an unacceptable level of bias.
It is applicable to quantitative data but not qualitative data.
|
Withdrawn |
2005-09 |
Edition : 1 |
Number of pages : 66 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 13528:2015 |
Statistical methods for use in proficiency testing by interlaboratory comparison |
ISO 13528:2015 provides detailed descriptions of statistical methods for proficiency testing providers to use to design proficiency testing schemes and to analyse the data obtained from those schemes. It provides recommendations on the interpretation of proficiency testing data by participants in such schemes and by accreditation bodies.
The procedures in ISO 13528:2015 can be applied to demonstrate that the measurement results obtained by laboratories, inspection bodies, and individuals meet specified criteria for acceptable performance.
ISO 13528:2015 is applicable to proficiency testing where the results reported are either quantitative measurements or qualitative observations on test items.
|
Withdrawn |
2015-08 |
Edition : 2 |
Number of pages : 89 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 13528:2022 |
Statistical methods for use in proficiency testing by interlaboratory comparison |
This document provides detailed descriptions of statistical methods for proficiency testing providers to use to design proficiency testing schemes and to analyse the data obtained from those schemes. This document provides recommendations on the interpretation of proficiency testing data by participants in such proficiency testing schemes and by accreditation bodies.
The procedures in this document can be applied to demonstrate that the measurement results obtained by laboratories, inspection bodies, and individuals meet specified criteria for acceptable performance.
This document is applicable to proficiency testing where the results reported are either quantitative measurements or qualitative observations on test items.
NOTE The procedures in this document can also be applied for the assessment of expert opinion where the opinions or judgments are reported in a form which can be compared objectively with an independent reference value or a consensus statistic. For example, when classifying proficiency test items into known categories by inspection - or in determining by inspection whether proficiency test items arise, or do not arise, from the same original source - and the classification results are compared objectively, the provisions of this document that relate to nominal (qualitative) properties can be applied.
|
Published |
2022-08 |
Edition : 3 |
Number of pages : 93 |
Technical Committee |
03.120.30
Application of statistical methods
|
| ISO 20480-3:2021 |
Fine bubble technology — General principles for usage and measurement of fine bubbles — Part 3: Methods for generating fine bubbles |
This document describes methods for generating fine bubbles.
|
Published |
2021-09 |
Edition : 1 |
Number of pages : 17 |
Technical Committee |
07.030
Physics. Chemistry
;
01.040.07
Natural and applied sciences (Vocabularies)
|
| ISO/TR 13587:2012 |
Three statistical approaches for the assessment and interpretation of measurement uncertainty |
ISO/TR 13587:2012 is concerned with three basic statistical approaches for the evaluation and interpretation of measurement uncertainty: the frequentist approach including bootstrap uncertainty intervals, the Bayesian approach, and fiducial inference. The common feature of these approaches is a clearly delineated probabilistic interpretation or justification for the resulting uncertainty intervals. For each approach, the basic method is described and the fundamental underlying assumptions and the probabilistic interpretation of the resulting uncertainty are discussed. Each of the approaches is illustrated using two examples including an example from the ISO/IEC Guide 98-3 (Uncertainty of measurement ? Part 3: Guide to the expression of uncertainty in measurement (GUM:1995)). This document also includes a discussion of the relationship between the methods proposed in GUM Supplement 1 and these three statistical approaches.
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Published |
2012-07 |
Edition : 1 |
Number of pages : 43 |
Technical Committee |
03.120.30
Application of statistical methods
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| ISO/TR 14468:2010 |
Selected illustrations of attribute agreement analysis |
ISO/TR 14468:2010 assesses a measurement process where the characteristic(s) being measured is (are) in the form of attribute data (including nominal and ordinal data).
ISO/TR 14468:2010 provides examples of attribute agreement analysis (AAA) and derives various results to assess closeness of agreement amongst appraisers, such as agreement within appraisers, agreement between appraisers, agreement of each appraiser vs. a standard, and agreement of all appraisers vs. a standard.
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Published |
2010-12 |
Edition : 1 |
Number of pages : 42 |
Technical Committee |
03.120.30
Application of statistical methods
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| ISO 14560:2004 |
Acceptance sampling procedures by attributes — Specified quality levels in nonconforming items per million |
ISO 14560:2004 specifies, for quality levels expressed as nonconforming items per million items, procedures for estimating the quality level of a single entity (e.g. a lot) and, when the production process is in statistical control, for estimating the process quality level based on evidence from several samples. Procedures are also specified for using this information when selecting a suitable sampling plan so as to verify that the quality level of a given lot does not exceed a stated limiting quality level (LQL). For the case where no prior sample data is available, guidance is given for presuming a process quality level in selecting a plan.
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Withdrawn |
2004-08 |
Edition : 1 |
Number of pages : 19 |
Technical Committee |
03.120.30
Application of statistical methods
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| ISO 16269-4:2010 |
Statistical interpretation of data — Part 4: Detection and treatment of outliers |
ISO 16269-4:2010 provides detailed descriptions of sound statistical testing procedures and graphical data analysis methods for detecting outliers in data obtained from measurement processes. It recommends sound robust estimation and testing procedures to accommodate the presence of outliers.
ISO 16269-4:2010 is primarily designed for the detection and accommodation of outlier(s) from univariate data. Some guidance is provided for multivariate and regression data.
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Published |
2010-10 |
Edition : 1 |
Number of pages : 54 |
Technical Committee |
03.120.30
Application of statistical methods
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| ISO 16269-6:2005 |
Statistical interpretation of data — Part 6: Determination of statistical tolerance intervals |
ISO 16269-6:2005 describes procedures for establishing tolerance intervals that include at least a specified proportion of the population with a specified confidence level. Both one-sided and two-sided statistical tolerance intervals are provided, a one-sided interval having either an upper or a lower limit while a two-sided interval has both upper and lower limits. Two methods are provided, a parametric method for the case where the characteristic being studied has a normal distribution and a distribution-free method for the case where nothing is known about the distribution except that it is continuous.
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Withdrawn |
2005-04 |
Edition : 1 |
Number of pages : 30 |
Technical Committee |
03.120.30
Application of statistical methods
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| ISO 16269-6:2014 |
Statistical interpretation of data — Part 6: Determination of statistical tolerance intervals |
ISO 16269-6:2013 describes procedures for establishing statistical tolerance intervals that include at least a specified proportion of the population with a specified confidence level. Both one-sided and two-sided statistical tolerance intervals are provided, a one‑sided interval having either an upper or a lower limit while a two-sided interval has both upper and lower limits. Two methods are provided, a parametric method for the case where the characteristic being studied has a normal distribution and a distribution‑free method for the case where nothing is known about the distribution except that it is continuous. There is also a procedure for the establishment of two‑sided statistical tolerance intervals for more than one normal sample with common unknown variance.
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Published |
2014-01 |
Edition : 2 |
Number of pages : 46 |
Technical Committee |
03.120.30
Application of statistical methods
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| ISO 16269-7:2001 |
Statistical interpretation of data — Part 7: Median — Estimation and confidence intervals |
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Published |
2001-03 |
Edition : 1 |
Number of pages : 11 |
Technical Committee |
03.120.30
Application of statistical methods
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| ISO 28590:2017 |
Sampling procedures for inspection by attributes — Introduction to the ISO 2859 series of standards for sampling for inspection by attributes |
ISO 28590:2017 provides a general introduction to acceptance sampling by attributes and provides a brief summary of the attribute sampling schemes and plans used in ISO 2859‑1, ISO 2859‑2, ISO 2859‑3, ISO 2859‑4 and ISO 2859‑5, which describe specific types of attribute sampling systems. It also provides guidance on the selection of the appropriate inspection system for use in a particular situation.
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Published |
2017-10 |
Edition : 1 |
Number of pages : 11 |
Technical Committee |
03.120.30
Application of statistical methods
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| ISO 16269-8:2004 |
Statistical interpretation of data — Part 8: Determination of prediction intervals |
ISO 16269-8:2004 specifies methods of determining prediction intervals for a single continuously distributed variable. These are ranges of values of the variable, derived from a random sample of size n, for which a prediction relating to a further randomly selected sample of size m from the same population may be made with a specified confidence.
Three different types of population are considered, namely normally distributed with unknown standard deviation, normally distributed with known standard deviation, and continuous but of unknown form.
For each of these three types of population, two methods are presented, one for one-sided prediction intervals and one for symmetric two-sided prediction intervals. In all cases, there is a choice from among six confidence levels.
The methods presented for types of population that are normally distributed with unknown standard deviation and normally distributed with known standard deviation may also be used for non-normally distributed populations that can be transformed to normality.
For types of population that are normally distributed with unknown standard deviation and normally distributed with known standard deviation, the tables presented in ISO 16269-8:2004 are restricted to prediction intervals containing all the further m sampled values of the variable. For types of population that are continuous but of unknown form, the tables relate to prediction intervals that contain at least m - r of the next m values, where r takes values from 0 to 10 or 0 to m - 1, whichever range is smaller.
For normally distributed populations, a procedure is also provided for calculating prediction intervals for the mean of m further observations.
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Published |
2004-09 |
Edition : 1 |
Number of pages : 108 |
Technical Committee |
03.120.30
Application of statistical methods
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| ISO 16336:2014 |
Applications of statistical and related methods to new technology and product development process — Robust parameter design (RPD) |
ISO 16336:2014 gives guidelines for applying the optimization method of robust parameter design, also called as parameter design, an effective methodology for optimization based on Taguchi Methods, to achieve robust products.
ISO 16336:2014 prescribes signal-to-noise ratio (hereafter SN ratio) as a measure of robustness, and the procedures of parameter design to design robust products utilizing this measure. The word "robust" in this International Standard means minimized variability of product's function under various noise conditions, that is, insensitivity of the product's function to the changes in the levels of noises. For robust products, their responses are sensitive to signal and insensitive to noises.
The approach of ISO 16336:2014 can be applied to any products that are designed and manufactured, including machines, chemical products, electronics, foods, consumer goods, software, new materials, and services. Manufacturing technologies are also regarded as products that are used by manufacturing processes.
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Published |
2014-07 |
Edition : 1 |
Number of pages : 73 |
Technical Committee |
03.120.30
Application of statistical methods
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| ISO 16337:2021 |
Application of statistical and related methods to new technology and product development process — Robust tolerance design (RTD) |
This document specifies guidelines for applying the robust tolerance design (RTD) provided by the Taguchi methods to a product in order to finalize the design of the product.
NOTE 1 RTD is applied to the target product to set the optimum tolerances of the design parameters around the nominal values. RTD identifies the effects of errors in the controllable design parameters on product output and estimates the total variance of the product output if the tolerances are changed. Hence, RTD achieves the target variance of the output from the viewpoints of robustness, performance, and cost.
NOTE 2 The tolerance expresses a maximum allowable error in the value of a design parameter in the manufacturing process. In a perfect world, the parts or elements of every product have the designed nominal values of the design parameters. However, actual manufacturing does not reproduce the exact designed nominal values of the design parameters for all products. The actual products have errors in the values of their parts or elements. These errors are supposed to be within the designed tolerances.
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Published |
2021-04 |
Edition : 1 |
Number of pages : 26 |
Technical Committee |
03.120.30
Application of statistical methods
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| ISO 16355-1:2015 |
Application of statistical and related methods to new technology and product development process — Part 1: General principles and perspectives of Quality Function Deployment (QFD) |
ISO 16355-1:2015 describes the quality function deployment (QFD) process, its purpose, users, and tools. It is not a management system standard. It does not provide requirements or guidelines for organizations to develop and systematically manage their policies, processes, and procedures in order to achieve specific objectives.
Users of ISO 16355-1:2015 will include all organization functions necessary to assure customer satisfaction, including business planning, marketing, sales, research and development (R&D), engineering, information technology (IT), manufacturing, procurement, quality, production, service, packaging and logistics, support, testing, regulatory, and other phases in hardware, software, service, and system organizations.
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Withdrawn |
2015-12 |
Edition : 1 |
Number of pages : 73 |
Technical Committee |
03.120.30
Application of statistical methods
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| ISO 16355-1:2021 |
Application of statistical and related methods to new technology and product development process — Part 1: General principles and perspectives of quality function deployment (QFD) |
This part of ISO 16355 describes the quality function deployment (QFD) process, its purpose, users, and tools. It does not provide requirements or guidelines for organizations to develop and systematically manage their policies, processes, and procedures in order to achieve specific objectives.
Users of this part of ISO 16355 will include all organization functions necessary to assure customer satisfaction, including business planning, marketing, sales, research and development (R&D), engineering, information technology (IT), manufacturing, procurement, quality, production, service, packaging and logistics, support, testing, regulatory, and other phases in hardware, software, service, and system organizations.
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Published |
2021-05 |
Edition : 2 |
Number of pages : 61 |
Technical Committee |
03.120.30
Application of statistical methods
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| ISO 20480-1:2017 |
Fine bubble technology — General principles for usage and measurement of fine bubbles — Part 1: Terminology |
ISO 20480-1:2017 specifies terminology and definitions used in the area of fine bubble technology. Terminology in this document covers general principles, measurements, and individual applications of fine bubble technology.
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Published |
2017-06 |
Edition : 1 |
Number of pages : 6 |
Technical Committee |
07.030
Physics. Chemistry
;
01.040.07
Natural and applied sciences (Vocabularies)
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| ISO 16355-2:2017 |
Applications of statistical and related methods to new technology and product development process — Part 2: Non-quantitative approaches for the acquisition of voice of customer and voice of stakeholder |
ISO 16355-2:2017 describes the non-quantitative approaches in the acquisition of voice of customer (VOC) and voice of stakeholder (VOS) and its purpose, and provides recommendations on the use of the applicable tools and methods. It is not a management system standard.
NOTE It does not provide requirements or guidelines for organizations to develop and systematically manage their policies, processes, and procedures in order to achieve specific objectives.
Users of this document include all organization functions necessary to assure customer satisfaction, including business planning, marketing, sales, research and development (R&D), engineering, information technology (IT), manufacturing, procurement, quality, production, service, packaging and logistics, support, testing, regulatory, and other phases in hardware, software, service, and system organizations.
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Published |
2017-02 |
Edition : 1 |
Number of pages : 41 |
Technical Committee |
03.120.30
Application of statistical methods
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| ISO 16355-3:2019 |
Applications of statistical and related methods to new technology and product development process — Part 3: Quantitative approaches for the acquisition of voice of customer and voice of stakeholder |
This document describes quantitative approaches for acquisition of the voice of customer (VOC) and voice of stakeholder (VOS) and its purpose, and provides recommendations on the use of the applicable tools and methods. It is not a management system standard.
NOTE It does not provide requirements or guidelines for organizations to develop and systematically manage their policies, processes, and procedures in order to achieve specific objectives.
Users of this document include all organization functions necessary to assure customer satisfaction, including business planning, marketing, sales, research and development (R&D), engineering, information technology (IT), manufacturing, procurement, quality, production, service, packaging and logistics, support, testing, regulatory, and other phases in hardware, software, service, and system organizations.
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Published |
2019-01 |
Edition : 1 |
Number of pages : 44 |
Technical Committee |
03.120.30
Application of statistical methods
|