Case-Deletion Diagnostics for Mixed Models
作者:
Ronald Christensen,
LarryM. Pearson,
Wesley Johnson,
期刊:
Technometrics
(Taylor Available online 1992)
卷期:
Volume 34,
issue 1
页码: 38-45
ISSN:0040-1706
年代: 1992
DOI:10.1080/00401706.1992.10485231
出版商: Taylor & Francis Group
关键词: Cook's distance;Influence; Kriging;Leverage;Random effects;Variance components
数据来源: Taylor
摘要:
Mixed linear models arise in many areas of application. Standard estimation methods for mixed models are sensitive to bizarre observations. Such influential observations can completely distort an analysis and lead to inappropriate actions and conclusions. We develop case-deletion diagnostics for detecting influential observations in mixed linear models. Diagnostics for both fixed effects and variance components are proposed. Computational formulas are given that make the procedures feasible. The methods are illustrated using examples.
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