BS ISO 16269-4:2010

Foreword
Introduction
1 Scope
2 Terms and definitions
3 Symbols
4 Outliers in univariate data
5 Accommodating outliers in univariate data
6 Outliers in multivariate and regression data
Annex A (informative) - Algorithm for the GESD outliers
        detection procedure
Annex B (normative) - Critical values of outliers test
        statistics for exponential samples
Annex C (normative) - Factor values of the modified box plot
Annex D (normative) - Values of the correction factors for the
        robust estimators of the scale parameter
Annex E (normative) - Critical values of Cochran's test
        statistic
Annex F (informative) - A structured guide to detection of
        outliers in univariate data
Bibliography

Gives detailed descriptions of sound statistical testing procedures and graphical data analysis methods for detecting outliers in data obtained from measurement processes.

This part of ISO16269 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.

This part of ISO16269 is primarily designed for the detection and accommodation of outlier(s) from univariate data. Some guidance is provided for multivariate and regression data.