The properties of some goodness-of-fit tests

TitleThe properties of some goodness-of-fit tests
Publication TypeWorking Paper
Year of Publication2002
AuthorsG. Boero, J. Smith, KF. Wallis
Number2002_09
Keywordscomponent tests, distributional assumptions, monte carlo, nonequiprobable partitions, normality, pearson’s goodness-of-fit test
Abstract

The properties of Pearson’s goodness-of-fit test, as used in density forecast evaluation, income distribution analysis and elsewhere, are analysed. The components-of-chi-squared or “Pearson analog” tests of Anderson (1994) are shown to be less generally applicable than was originally claimed. For the case of equiprobable classes, where the general components tests remain valid, a Monte Carlo study shows that tests directed towards skewness and kurtosis may have low power, due to differences between the class boundaries and the intersection points of the distributions being compared. The power of individual component tests can be increased by the use of nonequiprobable classes.

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