EN
The Most Powerful Member of the Power-Divergence Family for the Independence Model in Contingency Tables
Abstract
The family of power-divergence (PD) test statistic contains many well-known test statistics used in the analysis of the contingency tables under the independence model. In this work, we compare the various test statistics for the independence model. The type-I and type-II errors of the test statistics are obtained and compared via simulation study considering the different degree of freedoms and sample sizes. According to the simulation results, we recommend the PD(0.4) test statistic for the small sample size based on its power and type-I error rates. Two applications are given to demonstrate the usefulness of the PD(0.4) test statistic over the chi-square test statistic {contingency tables}.
Keywords
References
- [1] K. Pearson, On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling, Lond. Edinb. Dubl., 50(302) (1900), 157-175. $ \href{https://doi.org/10.1080/14786440009463897}{\mbox{[CrossRef]}} $
- [2] T.M. Franke, T. Ho and C.A. Christie, The chi-square test: Often used and more often misinterpreted. Am. J. Evaluation, 33(3)(2012), 448-458. $ \href{https://doi.org/10.1177/1098214011426594}{\mbox{[CrossRef]}} \href{https://www.scopus.com/record/display.uri?eid=2-s2.0-84864389048&origin=resultslist&sort=plf-f&src=s&sid=48a6f1c982306bd91c68d4da1fe32d0f&sot=b&sdt=b&s=DOI%2810.1177%2F1098214011426594%29&sl=29&sessionSearchId=48a6f1c982306bd91c68d4da1fe32d0f&relpos=0}{\mbox{[Scopus]}} \href{https://www.webofscience.com/wos/woscc/full-record/WOS:000306732300009}{\mbox{[Web of Science]}} $
- [3] J. Cohen, Statistical Power Analysis for the Behavioral Sciences, England, Routledge, (1988). $ \href{https://doi.org/10.4324/9780203771587}{\mbox{[CrossRef]}} \href{https://www.webofscience.com/wos/woscc/full-record/WOS:A1988T109700068}{\mbox{[Web of Science]}} $
- [4] K.R. Murphy and B. Myors, Testing the hypothesis that treatments have negligible effects: Minimum-effect tests in the general linear model, J. Appl. Psychol., 84(2)(1999), 234. $ \href{https://doi.org/10.1037//0021-9010.84.2.234}{\mbox{[CrossRef]}} \href{https://www.scopus.com/record/display.uri?eid=2-s2.0-0033115552&origin=resultslist&sort=plf-f&src=s&sid=3a9e791c833e2a7ccf70ee494ec6e7f7&sot=b&sdt=b&s=TITLE-ABS-KEY%28%22Testing+the+hypothesis+that+treatments+have+negligible+effects%3A+Minimum-effect+tests+in+the+general+linear+model%22%29&sl=111&sessionSearchId=3a9e791c833e2a7ccf70ee494ec6e7f7&relpos=0}{\mbox{[Scopus]}} \href{https://www.webofscience.com/wos/woscc/full-record/WOS:000080562000007}{\mbox{[Web of Science]}} $
- [5] G.M. Oyeyemi, A.A. Adewara, F.B. Adebola and S.I. Salau, On the estimation of power and sample size in test of independence, Asian J. Math. Stat., 3(3) (2010), 139-146. $\href{https://uilspace.unilorin.edu.ng/handle/20.500.12484/11569}{\mbox{[CrossRef]}} $
- [6] A. Agresti, Categorical Data Analysis John Wiley & Sons, 482(2002). $\href{https://doi.org/10.1002/0471249688}{\mbox{[CrossRef]}} $
- [7] A. Agresti, An Introduction to Categorical Data Analysis, John Wiley & Sons (2007). $ \href{https://doi.org/10.1002/0470114754}{\mbox{[CrossRef]}} $
- [8] P. Burman, On some testing problems for sparse contingency tables. J. Multivariate Anal., 88(1)(2004), 1-18. $ \href{https://doi.org/10.1016/S0047-259X(02)00052-0}{\mbox{[Scopus]}} \href{https://www.webofscience.com/wos/woscc/full-record/WOS:000187785400001}{\mbox{[Web of Science]}} $
Details
Primary Language
English
Subjects
Statistics (Other)
Journal Section
Research Article
Authors
Gokcen Altun
*
0000-0003-4311-6508
Türkiye
Early Pub Date
September 30, 2024
Publication Date
September 30, 2024
Submission Date
February 5, 2024
Acceptance Date
September 24, 2024
Published in Issue
Year 1970 Volume: 7 Number: 3
APA
Altun, G. (2024). The Most Powerful Member of the Power-Divergence Family for the Independence Model in Contingency Tables. Fundamental Journal of Mathematics and Applications, 7(3), 169-185. https://doi.org/10.33401/fujma.1432348
AMA
1.Altun G. The Most Powerful Member of the Power-Divergence Family for the Independence Model in Contingency Tables. Fundam. J. Math. Appl. 2024;7(3):169-185. doi:10.33401/fujma.1432348
Chicago
Altun, Gokcen. 2024. “The Most Powerful Member of the Power-Divergence Family for the Independence Model in Contingency Tables”. Fundamental Journal of Mathematics and Applications 7 (3): 169-85. https://doi.org/10.33401/fujma.1432348.
EndNote
Altun G (September 1, 2024) The Most Powerful Member of the Power-Divergence Family for the Independence Model in Contingency Tables. Fundamental Journal of Mathematics and Applications 7 3 169–185.
IEEE
[1]G. Altun, “The Most Powerful Member of the Power-Divergence Family for the Independence Model in Contingency Tables”, Fundam. J. Math. Appl., vol. 7, no. 3, pp. 169–185, Sept. 2024, doi: 10.33401/fujma.1432348.
ISNAD
Altun, Gokcen. “The Most Powerful Member of the Power-Divergence Family for the Independence Model in Contingency Tables”. Fundamental Journal of Mathematics and Applications 7/3 (September 1, 2024): 169-185. https://doi.org/10.33401/fujma.1432348.
JAMA
1.Altun G. The Most Powerful Member of the Power-Divergence Family for the Independence Model in Contingency Tables. Fundam. J. Math. Appl. 2024;7:169–185.
MLA
Altun, Gokcen. “The Most Powerful Member of the Power-Divergence Family for the Independence Model in Contingency Tables”. Fundamental Journal of Mathematics and Applications, vol. 7, no. 3, Sept. 2024, pp. 169-85, doi:10.33401/fujma.1432348.
Vancouver
1.Gokcen Altun. The Most Powerful Member of the Power-Divergence Family for the Independence Model in Contingency Tables. Fundam. J. Math. Appl. 2024 Sep. 1;7(3):169-85. doi:10.33401/fujma.1432348
