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The LMS for testing independence in two-way contingency tables Cover

The LMS for testing independence in two-way contingency tables

By: Piotr Sulewski  
Open Access
|Jun 2019

Abstract

In the statistical literature there are proposed many test measures to determine the independence of two qualitative variables in contingency tables, in particular in two-way contingency tables larger than 2×2. For statistical analysis, three of the so-called “chi-squared tests”—the T3 test, BP test and |χ| test—were selected. These tests were compared with a logarithmic minimum test, which is the author’s proposal. Critical values for the tests were determined with the Monte Carlo method. To compare the tests, an appropriate measure of untruthfulness of H0 was used and the power of the tests was calculated.

DOI: https://doi.org/10.2478/bile-2019-0003 | Journal eISSN: 2199-577X | Journal ISSN: 1896-3811
Language: English
Page range: 17 - 43
Published on: Jun 13, 2019
Published by: Polish Biometric Society
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2019 Piotr Sulewski, published by Polish Biometric Society
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.