An approximate analysis of variance test for non-normality suitable for machine calculation

Sanford Weisberg; Christopher Bingham

doi:10.1080/00401706.1975.10489283

An approximate analysis of variance test for non-normality suitable for machine calculation

Sanford Weisberg, Christopher Bingham

Statistics (Twin Cities)

Research output: Contribution to journal › Article › peer-review

43 Scopus citations

Abstract

Replacement by a simple approximation of expected values of order statistics in the Shapiro-Francis (1972) W′ statistics, yield a statistics W' that is more srlitable for machine computation. We show that W' is equivalent to W′ and discuss its percentage points.

Original language	English (US)
Pages (from-to)	133-134
Number of pages	2
Journal	Technometrics
Volume	17
Issue number	1
DOIs	https://doi.org/10.1080/00401706.1975.10489283
State	Published - Feb 1975

Keywords

Shapiro-wilk statistic computers
Test of normality

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1080/00401706.1975.10489283

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abstract = "Replacement by a simple approximation of expected values of order statistics in the Shapiro-Francis (1972) W′ statistics, yield a statistics W' that is more srlitable for machine computation. We show that W' is equivalent to W′ and discuss its percentage points.",

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An approximate analysis of variance test for non-normality suitable for machine calculation

Abstract

Keywords

UN SDGs

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