A New and Exact Homogeneity Test for Real Data

Sascha Worz
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Sascha Worz: Department of Mathematics, Kohlstatt Surberg O.t. Lauter, Germany

Biostatistics and Biometrics Open Access Journal, 2020, vol. 10, issue 2, 47-50

Abstract: In this letter, a new and exact homogeneity test for real data is presented. It does not underlie any restrictions and is especially applicable in case of small sample sizes or pathological absolute or expected frequencies and generalizes the famous chi-squared test which is not an exact test.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:10:y:2020:i:2:p:47-50

DOI: 10.19080/BBOAJ.2020.10.555785

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