ISO 16269-4:2010 PDF

Name: ISO 16269-4:2010 — Statistical interpretation of data — Part 4: Detection and treatment of outliers
SKU: ISO 16269-4:2010
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Statistical interpretation of data — Part 4: Detection and treatment of outliers

Название (английский):

ISO 16269-4:2010

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

Статус документа:: Действующий
Формат:: Электронный (PDF)
Количество страниц:: 59
Дата публикации:: 8 октября 2010 г.
Издание:: ISO IS 16269 edition 1 version 1
ICS:: 03.120.30

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Описание (английский):

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.

Abstract

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Упомянутые в описании и другие стандарты ISO

Overview

ISO 16269-4:2010 - "Statistical interpretation of data - Part 4: Detection and treatment of outliers" is an international standard that defines sound statistical procedures and graphical methods for identifying and accommodating outliers in measurement data. Focused primarily on univariate data, it also offers guidance for multivariate and regression contexts. The standard supports robust practice in measurement processes, quality control and data analysis by recommending validated tests, robust estimators and graphical diagnostics.

Key topics and technical requirements

Definitions and terminology: formalizes terms such as outlier, masking, resistant and robust estimation, order statistics, quartiles and box plot.

Data screening and graphical methods: recommended procedures for initial screening, including modified box plots, interquartile range (IQR) techniques and five-number summaries.

Statistical tests for outliers: procedures for samples from normal, exponential and other known (and unknown) distributions; includes guidance on Cochran’s test for outlying variances and procedures for detecting single or multiple outliers.

Robust estimation and accommodation: recommended robust estimators for location and scale (e.g., trimmed means, biweight estimators) and correction factors for scale estimation when outliers may be present.

Multivariate and regression data: guidance on detecting outlying Y and X observations, influential points and suggestions for robust regression techniques.

Annexes and implementation aids: Annex A presents an algorithm for the GESD outlier detection procedure; Annexes B–E provide critical-value and factor tables (exponential samples, modified box plot factors, robust estimator correction factors, Cochran’s test); Annex F provides a structured flow chart for univariate outlier detection.

Practical applications

ISO 16269-4 is applicable wherever measurement data integrity is critical:

Manufacturing process control and product quality assurance

Metrology and laboratory measurement analysis

Calibration, testing and inspection

Data cleaning in research, product development and regulatory reporting

Statistical analysis pipelines where robust inference is required

Using standardized outlier detection improves comparability of analyses across laboratories, suppliers and regulatory bodies.

Related standards

Other parts of ISO 16269 (Part 6: tolerance intervals; Part 7: median estimation; Part 8: prediction intervals) provide complementary statistical methods for measurement interpretation.

Keywords: ISO 16269-4:2010, outliers detection, outlier treatment, robust estimation, modified box plot, Cochran test, GESD, univariate data, multivariate outliers, regression diagnostics.

ISO 16269-4:2010 PDF

Abstract

Похожие стандарты

Overview

Key topics and technical requirements

Practical applications

Who should use this standard

Related standards

Технические детали

BS ISO 16269-4:2010

Statistical interpretation of data. Detection and treatment of outliers.

BS ISO 16269-8:2004

Statistical interpretation of data. Determination of prediction intervals.

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