<abstract xmlns="http://www.w3.org/1999/xhtml"><p> There are several statistics for testing hypotheses concerning the independence of the distributions represented by two rows in contingency tables. The most famous are Rao′s score, the Wald and the likelihood ratio tests. A comparison of the power of these tests indicates the Wald test as the most powerful. </p></abstract>

There are several statistics for testing hypotheses concerning the independence of the distributions represented by two rows in contingency tables. The most famous are Rao′s score, the Wald and the likelihood ratio tests. A comparison of the power of these tests indicates the Wald test as the most powerful.

Power comparison of Rao′s score test, the Wald test and the likelihood ratio test in (2xc) contingency tables

Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Wojska Polskiego 28, 60-637 Poznań, Poland

Biometrical Letters

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

There are several statistics for testing hypotheses concerning the independence of the distributions represented by two rows in contingency tables. The most...

Power comparison of Rao′s score test, the Wald test and the likelihood ratio test in (2xc) contingency tables

Online veröffentlicht: 12. Dez. 2015

Seitenbereich: 95 - 104

DOI: https://doi.org/10.1515/bile-2015-0009

Schlüsselwörter
power of a test, simulation studies, test of independence

© by Anita Dobek

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Power comparison of Rao′s score test, the Wald test and the likelihood ratio test in (2xc) contingency tables

Online veröffentlicht: 12. Dez. 2015

Seitenbereich: 95 - 104

DOI: https://doi.org/10.1515/bile-2015-0009

Schlüsselwörterpower of a test, simulation studies, test of independence

© by Anita Dobek

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
power of a test, simulation studies, test of independence