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1987•Communication in Statistics- Theory and MethodsRequires access

An alternative to the kolmogorov-smirnov test for goodness of fit

Fred Calitz

Open publisher page 9 citations

Abstract

A test is proposed which requires a better fit in the extremes of a distribution than the Kolmogorov-Smirnov test for H0. not to be rejected. Critical values are calculated for sample sizes up to 100, and approximate critical values are found for larger samples. The power of the test is obtained for a number of distributions, and it is shown that the test is more powerful than some existing tests for a wide range of cases

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What this paper is about

A test is proposed which requires a better fit in the extremes of a distribution than the Kolmogorov-Smirnov test for H0. not to be rejected. Critical values are calculated for sample sizes up to 100, and approximate critical values are found for larger samples. The power of the test is obtained for a number of distributions, and it is shown that the test is more powerful than some existing tests for a wide range of cases

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A test is proposed which requires a better fit in the extremes of a distribution than the Kolmogorov-Smirnov test for H0. not to be rejected. Critical values are calculated for sample sizes up to 100, and approximate critical values are found for larger samples. The power of the test is obtained for a number of distributions, and it is shown that the test is more powerful than some existing tests for a wide range of cases

Key concepts: Kolmogorov–Smirnov test, Goodness of fit, Range (aeronautics), Statistics, Anderson–Darling test, Mathematics, Test (biology), Statistical hypothesis testing

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