A New Test for Independence in 2×2 Contingency Tables

Acta Universitatis Lodziensis. Folia Oeconomica

Piotr Sulewski¹ 

[1] Pomeranian University in Słupsk, Faculty of Mathematics and Natural Sciences, Institute of Mathematics;

关键词: independence test;    2×2 contingency table;    logarithmic minimum statistics;    modular statistics;    power divergence statistics;    Monte Carlo method;   

DOI  :  10.18778/0208-6018.330.04

来源: DOAJ

【 摘 要 】

In statistical literature there exist many tests to reveal the independence of two qualitative variables in two‑way contingency tables (CTs), in particular in 2×2 CTs. In this paper four independence tests were compared. These are: the chi‑square test, being the most popular type of power divergence statistics; the modular test and the d‑square test, which is a modification of the Pearson’s test; the logarithmic minimum test which is a new proposal. Critical values for the tests listed above were determined with the Monte Carlo method. In order to compare the tests, the measure of untruthfulness of H0 was proposed and the power of the tests was calculated.

【 授权许可】

Unknown