On tests of homogeneity based on minimum phi-divergence estimator with constraints



Downloads per month over past year

Menéndez Calleja, María Luisa and Pardo Llorente, Julio Ángel and Pardo Llorente, Leandro and Zografos, Konstantinos (2003) On tests of homogeneity based on minimum phi-divergence estimator with constraints. Computational Statistics and Data Analysis, 43 (2). pp. 215-234. ISSN 0167-9473

[thumbnail of PardoJulio22.pdf] PDF
Restringido a Repository staff only


Official URL: http://www.sciencedirect.com/science/article/pii/S0167947302002074


A family of tests of homogeneity of independent multinomial populations is introduced in terms of the phi(1)-divergence when the parameters are estimated using the minimum phi(2)-divergence estimator instead of the maximum likelihood estimator. A simulation study is presented to choose the best function phi(2) for estimation and the best function phi(1) for testing. A new test statistic is obtained, more powerful in some cases, than the existing tests for testing homogeneity in multinomial populations.

Item Type:Article
Uncontrolled Keywords:Minimum phi-divergence estimator; Homogeneity; Multinomial populations; phi-divergence statistic
Subjects:Sciences > Mathematics > Mathematical statistics
ID Code:17527
Deposited On:21 Dec 2012 11:35
Last Modified:26 Jul 2018 07:28

Origin of downloads

Repository Staff Only: item control page