Small-sample performance of robust methods in logistic regression

被引：0
|
作者：
Nargis, Suraiya [1 ]
Richardson, Alice [1 ]
机构：
[1] Australian Inst Hlth & Welf, Populat Hlth Unit, Canberra, ACT 2601, Australia
来源：
CONTRIBUTIONS TO PROBABILITY AND STATISTICS: APPLICATIONS AND CHALLENGES | 2006年
关键词：
generalised linear model; simulation study;
D O I：
10.1142/9789812772466_0012
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
In this paper we aim to deepen our understanding of the behaviour of robust methods in logistic regression. Firstly we describe a number of approaches to robust estimation in logistic regression. Next we test aspects of their behaviour through a small simulation study of binary data only. Finally, opportunities for further research are presented.
引用
收藏
页码：152 / +
页数：3
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