文章基本信息

标题：Local Influence in Constrained General Linear Models
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作者：Hadi Emami ; Mostafa Emami
期刊名称：Journal of Data Science
印刷版ISSN：1680-743X
电子版ISSN：1683-8602
出版年度：2014
卷号：12
期号：4
页码：717-726
出版社：Tingmao Publish Company
摘要：Constrained general linear models (CGLMs) have wide applications in practice. Similar to other data analysis, the identification of influential obser-vations that may be potential outliers is an important step beyond in CGLMs. We develop local influence approach for detecting influential observations in CGLMs. The procedure makes use of the normal curvature and the direction achieving the maximum curvature to assess the local influences of minor perturbation of CGLMs. An illustrative example with a real data set is also reported.
关键词：Constrained general linear models; Local influence; Perturbation scheme; Cook’s distance