A measure of skewness for testing departures from normality
Shigekazu Nakagawa, Hiroki Hashiguchi, Naoto Niki

TL;DR
This paper introduces a new skewness test statistic for assessing normality, utilizing the Pearson measure and Johnson $S_{U}$ system, with performance evaluated through power comparisons.
Contribution
It presents a novel skewness test statistic based on Pearson's measure and Johnson $S_{U}$ system, with derived moments and performance analysis.
Findings
The new test statistic has competitive power against alternatives.
Asymptotic moments of the null distribution are computed.
Performance comparison shows advantages over existing tests.
Abstract
We propose a new skewness test statistic for normality based on the Pearson measure of skewness. We obtain asymptotic first four moments of the null distribution for this statistic by using a computer algebra system and its normalizing transformation based on the Johnson system. Finally the performance of the proposed statistic is shown by comparing the powers of several skewness test statistics against some alternative hypotheses.
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Taxonomy
TopicsStatistical Distribution Estimation and Applications · Financial Risk and Volatility Modeling · Probability and Statistical Research
