INFLUENCE ANALYSIS IN THE LINEAR MIXED MODEL

被引：0
|
作者：
Turkan, Semra [1 ]
Toktamis, Oniz [1 ]
机构：
[1] Hacettepe Univ, Dept Stat, TR-06100 Ankara, Turkey
来源：
PAKISTAN JOURNAL OF STATISTICS | 2012年 / 28卷 / 03期
关键词：
Influential observations; diagnostics; maximum likelihood; DELETION DIAGNOSTICS;
D O I：
暂无
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：
The linear mixed model is considerably sensitive to outliers and influential observations. It is known that outliers and influential observations affect substantially the results of analysis. So it is very important to be aware of these observations. Some diagnostics which are analogue of diagnostics in multiple linear regression were developed to detect outliers and influential observations in the linear mixed model. In this paper, the new diagnostic measure which is analogue of the Pena's influence statistic is developed for the linear mixed model.
引用
收藏
页码：341 / 349
页数：9
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