2014Unpublished venueRequires access

Tests on other Distributions

Dirk Taeger, Sonja Kuhnt

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Abstract

This chapter presents goodness-of-fit tests for distributions other than Gaussian. Tests in the first section of the chapter are based on the empirical distribution function (EDF). The second section deals with Pearson's X2-test, which is an omnibus test for goodness-of-fit but not so powerful if alternative tests on specific distributions are available. The appropriate sample codes namely, SAS and R codes, are given to perform all the discussed tests.

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What this paper is about

This chapter presents goodness-of-fit tests for distributions other than Gaussian. Tests in the first section of the chapter are based on the empirical distribution function (EDF). The second section deals with Pearson's X2-test, which is an omnibus test for goodness-of-fit but not so powerful if alternative tests on specific distributions are available. The appropriate sample codes namely, SAS and R codes, are given to perform all the discussed tests.

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Available abstract

This chapter presents goodness-of-fit tests for distributions other than Gaussian. Tests in the first section of the chapter are based on the empirical distribution function (EDF). The second section deals with Pearson's X2-test, which is an omnibus test for goodness-of-fit but not so powerful if alternative tests on specific distributions are available. The appropriate sample codes namely, SAS and R codes, are given to perform all the discussed tests.

Key concepts: Goodness of fit, Statistics, Section (typography), Mathematics, Kolmogorov–Smirnov test, Sample (material), Empirical distribution function, Gaussian

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