Withdrawal of ISO/R 645-1967

Withdrawal of ISO/R 1786-1970

Statistical interpretation of test results — Estimation of the mean — Confidence interval

Statistical interpretation of data — Techniques of estimation and tests relating to means and variances

Sampling procedures for inspection by attributes — Part 0: Introduction to the ISO 2859 attribute sampling system

Sampling procedures for inspection by attributes — Part 1: Sampling plans indexed by acceptable quality level (AQL) for lot-by-lot inspection

Sampling procedures for inspection by attributes — Part 1: Sampling plans indexed by acceptable quality level (AQL) for lot-by-lot inspection — Technical Corrigendum 1

Sampling procedures for inspection by attributes — Part 1: Sampling schemes indexed by acceptance quality limit (AQL) for lot-by-lot inspection

Sampling procedures for inspection by attributes — Part 1: Sampling schemes indexed by acceptance quality limit (AQL) for lot-by-lot inspection — Amendment 1

Sampling procedures for inspection by attributes — Part 1: Sampling schemes indexed by acceptance quality limit (AQL) for lot-by-lot inspection — Technical Corrigendum 1

Sampling procedures for inspection by attributes — Part 1: Sampling schemes indexed by acceptance quality limit (AQL) for lot-by-lot inspection

Sampling procedures for inspection by attributes — Part 2: Sampling plans indexed by limiting quality (LQ) for isolated lot inspection

Sampling procedures for inspection by attributes — Part 2: Sampling plans indexed by limiting quality (LQ) for isolated lot inspection

Sampling procedures for inspection by attributes — Part 3: Skip-lot sampling procedures

Sampling procedures for inspection by attributes — Part 3: Skip-lot sampling procedures

Sampling procedures for inspection by attributes — Part 4: Procedures for assessment of stated quality levels

Sampling procedures for inspection by attributes — Part 4: Procedures for assessment of declared quality levels

Sampling procedures for inspection by attributes — Part 4: Procedures for assessment of declared quality levels

Sampling procedures for inspection by attributes — Part 5: System of sequential sampling plans indexed by acceptance quality limit (AQL) for lot-by-lot inspection

Sampling procedures for inspection by attributes — Part 10: Introduction to the ISO 2859 series of standards for sampling for inspection by attributes

Sampling procedures and tables for inspection by attributes

Sampling procedures and tables for inspection by attributes — Addendum 1

Statistical interpretation of data — Determination of a statistical tolerance interval

Statistical interpretation of data — Determination of a statistical tolerance interval — Addendum 1

Statistical interpretation of data — Comparison of two means in the case of paired observations

Statistical interpretation of data — Power of tests relating to means and variances

Statistics — Vocabulary and symbols — Part 1: Probability and general statistical terms

Statistics — Vocabulary and symbols — Part 1: General statistical terms and terms used in probability

Statistics — Vocabulary and symbols — Part 2: Statistical quality control

Statistics — Vocabulary and symbols — Part 2: Applied statistics

Statistics — Vocabulary and symbols — Part 3: Design of experiments

Statistics — Vocabulary and symbols — Part 3: Design of experiments

Statistics — Vocabulary and symbols — Part 3: Design of experiments

Statistics — Vocabulary and symbols — Part 4: Survey sampling

Statistics — Vocabulary and symbols

Sampling procedures for inspection by variables — Part 1: Specification for single sampling plans indexed by acceptance quality limit (AQL) for lot-by-lot inspection for a single quality characteristic and a single AQL

Sampling procedures for inspection by variables — Part 1: Specification for single sampling plans indexed by acceptance quality limit (AQL) for lot-by-lot inspection for a single quality characteristic and a single AQL

Sampling procedures for inspection by variables — Part 1: Specification for single sampling plans indexed by acceptance quality limit (AQL) for lot-by-lot inspection for a single quality characteristic and a single AQL

Sampling procedures for inspection by variables — Part 2: General specification for single sampling plans indexed by acceptance quality limit (AQL) for lot-by-lot inspection of independent quality characteristics

Sampling procedures for inspection by variables — Part 2: General specification for single sampling plans indexed by acceptance quality limit (AQL) for lot-by-lot inspection of independent quality characteristics — Amendment 1

Sampling procedures for inspection by variables — Part 2: General specification for single sampling plans indexed by acceptance quality limit (AQL) for lot-by-lot inspection of independent quality characteristics

Sampling procedures for inspection by variables — Part 3: Double sampling schemes indexed by acceptance quality limit (AQL) for lot-by-lot inspection

Sampling procedures for inspection by variables — Part 4: Procedures for assessment of declared quality levels

Sampling procedures for inspection by variables — Part 5: Sequential sampling plans indexed by acceptance quality limit (AQL) for inspection by variables (known standard deviation)

Sampling procedures for inspection by variables — Part 6: Specification for single sampling plans for isolated lot inspection indexed by limiting quality (LQ)

Sampling procedures and charts for inspection by variables for percent defective

Sampling procedures and charts for inspection by variables for percent nonconforming

Statistical interpretation of data — Tests for departure from the normal distribution

Accuracy (trueness and precision) of measurement methods and results — Part 1: General principles and definitions

Accuracy (trueness and precision) of measurement methods and results — Part 1: General principles and definitions — Technical Corrigendum 1

Accuracy (trueness and precision) of measurement methods and results — Part 1: General principles and definitions

Accuracy (trueness and precision) of measurement methods and results — Part 2: Basic method for the determination of repeatability and reproducibility of a standard measurement method

Accuracy (trueness and precision) of measurement methods and results — Part 2: Basic method for the determination of repeatability and reproducibility of a standard measurement method — Technical Corrigendum 1

Accuracy (trueness and precision) of measurement methods and results — Part 2: Basic method for the determination of repeatability and reproducibility of a standard measurement method

Accuracy (trueness and precision) of measurement methods and results — Part 3: Intermediate measures of the precision of a standard measurement method

Accuracy (trueness and precision) of measurement methods and results — Part 3: Intermediate measures of the precision of a standard measurement method — Technical Corrigendum 1

Accuracy (trueness and precision) of measurement methods and results — Part 3: Intermediate precision and alternative designs for collaborative studies

Accuracy (trueness and precision) of measurement methods and results — Part 4: Basic methods for the determination of the trueness of a standard measurement method

Accuracy (trueness and precision) of measurement methods and results — Part 4: Basic methods for the determination of the trueness of a standard measurement method

Accuracy (trueness and precision) of measurement methods and results — Part 5: Alternative methods for the determination of the precision of a standard measurement method

Accuracy (trueness and precision) of measurement methods and results — Part 5: Alternative methods for the determination of the precision of a standard measurement method — Technical Corrigendum 1

Accuracy (trueness and precision) of measurement methods and results — Part 5: Alternative methods for the determination of the precision of a standard measurement method

Accuracy (trueness and precision) of measurement methods and results — Part 6: Use in practice of accuracy values

Accuracy (trueness and precision) of measurement methods and results — Part 6: Use in practice of accuracy values — Technical Corrigendum 1

Precision of test methods — Determination of repeatability and reproducibility by inter-laboratory tests

Precision of test methods — Determination of repeatability and reproducibility for a standard test method by inter-laboratory tests

Control charts — Part 1: General guidelines

Control charts — Part 1: General guidelines

Control charts — Part 1: General guidelines

Control charts — Part 2: Shewhart control charts

Control charts — Part 2: Shewhart control charts

Control charts — Part 3: Acceptance control charts

Control charts — Part 3: Acceptance control charts

Control charts — Part 4: Cumulative sum charts

Control charts — Part 4: Cumulative sum charts

Control charts — Part 5: Specialized control charts

Control charts — Part 6: EWMA control charts

Control charts — Part 6: EWMA control charts for the process mean

Control charts — Part 7: Multivariate control charts

Control charts — Part 8: Charting techniques for short runs and small mixed batches

Control charts — Part 9: Control charts for stationary processes

Control charts — General guide and introduction

Cumulative sum charts — Guidance on quality control and data analysis using CUSUM techniques

Control charts for arithmetic average with warning limits

Acceptance control charts

Shewhart control charts

Shewhart control charts — Technical Corrigendum 1

Sequential sampling plans for inspection by attributes

Sequential sampling plans for inspection by attributes — Technical Corrigendum 1

Sequential sampling plans for inspection by attributes

Sequential sampling plans for inspection by variables for percent nonconforming (known standard deviation)

Sequential sampling plans for inspection by variables for percent nonconforming (known standard deviation) — Technical Corrigendum 1

Sequential sampling plans for inspection by variables for percent nonconforming (known standard deviation)

Guidance on the selection and usage of acceptance sampling systems for inspection of discrete items in lots — Part 1: Acceptance sampling

Guidance on the selection and usage of acceptance sampling systems for inspection of discrete items in lots — Part 2: Sampling by attributes

Guidance on the selection and usage of acceptance sampling systems for inspection of discrete items in lots — Part 3: Sampling by variables

Guide for the selection of an acceptance sampling system, scheme or plan for inspection of discrete items in lots

Interpretation of statistical data — Estimation of a median

Quality management — Guidance on statistical techniques for ISO 9001:2015

Guidance on statistical techniques for ISO 9001:1994

Guidance on statistical techniques for ISO 9001:2000

Statistical methods — Guidelines for the evaluation of conformity with specified requirements — Part 1: General principles

Statistical methods — Guidelines for the evaluation of conformity with specified requirements

Acceptance sampling plans and procedures for the inspection of bulk materials

Linear calibration using reference materials

Statistical interpretation of data — Tests and confidence intervals relating to proportions

Statistical interpretation of data — Tests and confidence intervals relating to proportions — Technical Corrigendum 1

Guidelines for implementation of statistical process control (SPC) — Part 1: Elements of SPC

Guidelines for implementation of statistical process control (SPC) — Part 2: Catalogue of tools and techniques

Guidelines for implementation of statistical process control (SPC) — Part 3: Reference data sets for SPC software validation

Guidelines for implementation of statistical process control (SPC) — Part 4: Reference data sets for measurement process analysis software validation

Guidelines for implementation of statistical process control (SPC) — Part 5: Quality data exchange format for SPC software

Statistical aspects of sampling from bulk materials — Part 1: General principles

Statistical aspects of sampling from bulk materials — Part 2: Sampling of particulate materials

Capability of detection — Part 1: Terms and definitions

Capability of detection — Part 1: Terms and definitions — Technical Corrigendum 1

Capability of detection — Part 2: Methodology in the linear calibration case

Capability of detection — Part 2: Methodology in the linear calibration case — Technical Corrigendum 1

Capability of detection — Part 3: Methodology for determination of the critical value for the response variable when no calibration data are used

Capability of detection — Part 4: Methodology for comparing the minimum detectable value with a given value

Capability of detection — Part 5: Methodology in the linear and non-linear calibration cases

Capability of detection — Part 5: Methodology in the linear and non-linear calibration cases — Amendment 1

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

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

Capability of detection — Part 7: Methodology based on stochastic properties of instrumental noise

Capability of detection — Part 7: Methodology based on stochastic properties of instrumental noise

Capability of detection — Part 7: Methodology based on stochastic properties of instrumental noise

Capability of detection — Part 8: Guidance for the implementation of the ISO 11843 series

Selected illustrations of fractional factorial screening experiments

Selected illustrations of gauge repeatability and reproducibility studies

Quantitative methods in process improvement — Six Sigma — Part 1: DMAIC methodology

Quantitative methods in process improvement — Six Sigma — Part 2: Tools and techniques

Selected illustrations of response surface method — Central composite design

Guide for the selection of statistical methods in standardization and specification

Guidelines for the selection of statistical methods in standardization and specification

Guidelines for the selection of statistical methods in standardization and specification

Acceptance sampling procedures based on the allocation of priorities principle (APP) — Part 1: Guidelines for the APP approach

Acceptance sampling procedures based on the allocation of priorities principle (APP) — Part 2: Coordinated single sampling plans for acceptance sampling by attributes

Guidance on the development and use of ISO statistical publications supported by software

Statistical methods for use in proficiency testing by interlaboratory comparisons

Statistical methods for use in proficiency testing by interlaboratory comparison

Statistical methods for use in proficiency testing by interlaboratory comparison

Three statistical approaches for the assessment and interpretation of measurement uncertainty

Selected illustrations of attribute agreement analysis

Acceptance sampling procedures by attributes — Specified quality levels in nonconforming items per million

Statistical interpretation of data — Part 4: Detection and treatment of outliers

Statistical interpretation of data — Part 6: Determination of statistical tolerance intervals

Statistical interpretation of data — Part 6: Determination of statistical tolerance intervals

Statistical interpretation of data — Part 7: Median — Estimation and confidence intervals

Statistical interpretation of data — Part 8: Determination of prediction intervals

Applications of statistical and related methods to new technology and product development process — Robust parameter design (RPD)

Application of statistical and related methods to new technology and product development process — Robust tolerance design (RTD)

Application of statistical and related methods to new technology and product development process — Part 1: General principles and perspectives of Quality Function Deployment (QFD)

Application of statistical and related methods to new technology and product development process — Part 1: General principles and perspectives of quality function deployment (QFD)

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

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

Applications of statistical and related methods to new technology and product development process — Part 4: Analysis of non-quantitative and quantitative Voice of Customer and Voice of Stakeholder

Applications of statistical and related methods to new technology and product development process — Part 5: Solution strategy

Applications of statistical and related methods to new technology and product development process — Part 6: Guidance for QFD-related approaches to optimization

Applications of statistical and related methods to new technology and product development process — Part 7: Guidelines for developing digitalized products and services — General principles and perspectives of the QFD method

Applications of statistical and related methods to new technology and product development process — Part 8: Guidelines for commercialization and life cycle

Statistical methods for implementation of Six Sigma — Selected illustrations of contingency table analysis

Statistical methods — Six Sigma — Basic criteria underlying benchmarking for Six Sigma in organisations

Quantitative methods in process improvement — Six Sigma — Competencies for key personnel and their organizations in relation to Six Sigma and Lean implementation

Acceptance sampling procedures by attributes — Accept-zero sampling system based on credit principle for controlling outgoing quality

Guidance on the application of statistical methods to quality and to industrial standardization

Statistical methods for implementation of Six Sigma — Selected illustrations of distribution identification studies

Combined accept-zero sampling systems and process control procedures for product acceptance

Statistical methods — Process performance and capability statistics for measured quality characteristics

Statistical methods in process management — Capability and performance — Part 1: General principles and concepts

Statistical methods in process management — Capability and performance — Part 1: General principles and concepts

Statistical methods in process management — Capability and performance — Part 2: Process capability and performance of time-dependent process models

Statistical methods in process management — Capability and performance — Part 2: Process capability and performance of time-dependent process models

Statistical methods in process management — Capability and performance — Part 3: Machine performance studies for measured data on discrete parts

Statistical methods in process management — Capability and performance — Part 3: Machine performance studies for measured data on discrete parts

Statistical methods in process management — Capability and performance — Part 4: Process capability estimates and performance measures

Statistical methods in process management — Capability and performance — Part 4: Process capability estimates and performance measures

Statistical methods in process management — Capability and performance — Part 5: Process capability estimates and performance for attributive characteristics

Statistical methods in process management — Capability and performance — Part 6: Process capability statistics for characteristics following a multivariate normal distribution

Statistical methods in process management — Capability and performance — Part 7: Capability of measurement processes

Statistical methods in process management — Capability and performance — Part 7: Capability of measurement processes

Statistical methods in process management — Capability and performance — Part 7: Capability of measurement processes — Amendment 1

Statistical methods in process management — Capability and performance — Part 8: Machine performance of a multi-state production process

Statistical methods in process management — Capability and performance — Part 9: Process capability statistics for characteristics defined by geometrical specifications

Statistical methods for implementation of Six Sigma — Selected illustration of analysis of variance

Accuracy (trueness and precision) of measurement methods and results — Practical guidance for the use of ISO 5725-2:1994 in designing, implementing and statistically analysing interlaboratory repeatability and reproducibility results

Experimental designs for evaluation of uncertainty — Use of factorial designs for determining uncertainty functions

Random sampling and randomization procedures

Statistical analysis for evaluating the precision of binary measurement methods and their results

Reproducibility of the level of detection (LOD) of binary methods in collaborative and in-house validation studies

Determination and use of straight-line calibration functions

Sampling procedures for inspection by attributes — Introduction to the ISO 2859 series of standards for sampling for inspection by attributes

Sequential sampling plans for inspection by attributes

Double sampling plans by attributes with minimal sample sizes, indexed by producer's risk quality (PRQ) and consumer's risk quality (CRQ)

Acceptance sampling procedures by attributes — Accept-zero sampling system based on credit principle for controlling outgoing quality

Combined accept-zero sampling systems and process control procedures for product acceptance

Sampling procedures for inspection by attributes — Two-stage sampling plans for auditing and for inspection under prior information

Acceptance sampling procedures by attributes — Specified quality levels in nonconforming items per million

Acceptance sampling procedures based on the allocation of priorities principle (APP) — Part 1: Guidelines for the APP approach

Acceptance sampling procedures based on the allocation of priorities principle (APP) — Part 2: Coordinated single sampling plans for acceptance sampling by attributes

Random variate generation methods

Double sampling plans by attributes with minimal sample sizes, indexed by producer's risk quality (PRQ) and consumer's risk quality (CRQ)

Selected illustrations of full factorial experiments with four factors

Selected illustrations of full factorial experiments with four factors — Technical Corrigendum 1

Sequential sampling plans for inspection by variables for percent nonconforming (known standard deviation)