IDENTIFICATION AND ACCOMMODATION OF OUTLIERS IN GENERAL HIERARCHICAL-MODELS
成果类型：
Article
署名作者：
SHARPLES, LD
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/77.3.445
发表日期：
1990
页码：
445453
关键词：
摘要：
By their nature, hierarchical models involve a considerable number of structural and distributional assumptions, for example, normality and linearity are common assumptions. Considerations of robustness therefore suggest that some form of model elaboration is necessary. However, it is not clear how to achieve this in the already complex setting of hierarchial models whilst maintaining reasonable tractability in the analysis. We provide a comprehensive account of the way in which methods based on the contaminated normal model can be applied to the general hierarchial model, and investigate the influence of data on estimates of posterior distributions.
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