DIAGNOSTICS IN LOG-LINEAR MODELS

被引：0
|
作者：
Guria, Sibnarayan [1 ]
Sen Roy, Sugata [2 ]
机构：
[1] West Bengal State Univ, Dept Stat, Kolkata, India
[2] Univ Calcutta, Dept Stat, Kolkata, India
来源：
ADVANCES AND APPLICATIONS IN STATISTICS | 2015年 / 44卷 / 02期
关键词：
generalized linear model; maximum likelihood estimator; deletion technique;
D O I：
10.17654/ADASFeb2015_163_176
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 study the diagnostics of a generalized linear model. The model is fitted using the maximum likelihood method and the deletion of observation technique is used to identify outliers. Expressions for the change in the estimates of the parameters after re-fitting are obtained. A count data model is cited as an illustration.
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页码：163 / 176
页数：14
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