A new family of BAN estimators for polytomous logistic regression models based on φ- Divergence measures

被引：0
|
作者：
Gupta A.K. [1 ]
Kasturiratna D. [1 ]
Nguyen T. [1 ]
Pardo L. [2 ]
机构：
[1] Department of Mathematics and Statistics, Bowling Green State University, Bowling Green
[2] Department of Statistics and O.R., Faculty of Mathematics, Complutense University of Madrid
来源：
Statistical Methods and Applications | 2006年 / 15卷 / 2期
关键词：
Kullback-Leibler divergence measure; Minimum φ-divergence estimators; Multinomial sampling; Polytomous regression model;
D O I：
10.1007/s10260-006-0008-6
中图分类号：
学科分类号：
摘要：
In this paper we study polytomous logistic regression model and the asymptotic properties of the minimum φ-divergence estimators for this model. A simulation study is conducted to analyze the behavior of these estimators as function of the power-divergence measure φ(λ).
引用
收藏
页码：159 / 176
页数：17
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