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Tests of fit for the logarithmic distribution

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posted on 2024-11-15, 15:32 authored by Donald John Best, John RaynerJohn Rayner, Olivier Thas
Smooth tests for the logarithmic distribution are compared with three tests: the first is a test due to Epps and is based on a probability generating function, the second is the Anderson-Darling test, and the third is due to Klar and is based on the empirical integrated distribution function. These tests all have substantially better power than the traditional Pearson-Fisher X2 test of fit for the logarithmic. These traditional chi-squared tests are the only logarithmic tests of fit commonly applied by ecologists and other scientists.

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Best, D. J., Rayner, J. & Thas, O. (2008). Tests of fit for the logarithmic distribution. Journal of Applied Mathematics and Decision Sciences, 2008

Journal title

Journal of Applied Mathematics and Decision Sciences

Volume

2008

Language

English

RIS ID

43387

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