Stein-type estimation in logistic regression models based on minimum ϕ-divergence estimators

被引:0
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作者
M. L. Menéndez
L. Pardo
M. C. Pardo
机构
[1] Complutense University of Madrid,Department of Statistics and O.R. I
[2] Technical University of Madrid,Department of Applied Mathematics, E.T.S.A.M.
关键词
62F10; 62F30; 62F12; 62J10; Logistic regression model; Phi-divergence test statistics; Minimum phi-divergence estimator; General linear hypotheses; Stein-type estimation;
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摘要
In this paper we present a study of Stein-type estimators for the unknown parameters in logistic regression models when it is suspected that the parameters may be restricted to a subspace of the parameter space. The Stein-type estimators studied are based on the minimum phi-divergence estimator instead on the maximum likelihood estimator as well as on phi-divergence test statistics.
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页码:73 / 86
页数:13
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