Goodness-of-fit techniques
Goodness-of-fit tests based on P—P probability plots
Technometrics
Robust directed tests of normality against heavy-tailed alternatives
Computational Statistics & Data Analysis
A goodness-of-fit test for normality based on polynomial regression
Computational Statistics & Data Analysis
Robust measures of tail weight
Computational Statistics & Data Analysis
A large deviation approach to normality testing
Computational Statistics & Data Analysis
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Kurtosis can be measured in more than one way. A modification of Geary's measure of kurtosis is shown to be more sensitive to kurtosis in the center of the distribution while Pearson's measure of kurtosis is more sensitive to kurtosis in the tails of the distribution. The modified Geary measure and the Pearson measure are used to define a joint test of kurtosis that has high uniform power across a very wide range of symmetric nonnormal distributions.