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Interpreting the skewness coefficient

Interpreting the skewness coefficient We examine and extend the argument of Horswell and Looney (1993), who claimed that the test for normality based on the sample skewness coefficient does not reliably discriminate between skewed and symmetric distributions. Theoretical and simulation evidence is given. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Communications in Statistics: Theory and Methods Taylor & Francis

Interpreting the skewness coefficient

Interpreting the skewness coefficient

Communications in Statistics: Theory and Methods , Volume 24 (3): 8 – Jan 1, 1995

Abstract

We examine and extend the argument of Horswell and Looney (1993), who claimed that the test for normality based on the sample skewness coefficient does not reliably discriminate between skewed and symmetric distributions. Theoretical and simulation evidence is given.

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References (8)

Publisher
Taylor & Francis
Copyright
Copyright Taylor & Francis Group, LLC
ISSN
1532-415X
eISSN
0361-0926
DOI
10.1080/03610929508831509
Publisher site
See Article on Publisher Site

Abstract

We examine and extend the argument of Horswell and Looney (1993), who claimed that the test for normality based on the sample skewness coefficient does not reliably discriminate between skewed and symmetric distributions. Theoretical and simulation evidence is given.

Journal

Communications in Statistics: Theory and MethodsTaylor & Francis

Published: Jan 1, 1995

Keywords: Consistency; contiguous alternatives; kurtosis; symmetry

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