期刊名称：Electronic Journal of Applied Statistical Analysis
电子版ISSN：2070-5948
出版年度：2009
卷号：2
期号：1
页码：67-76
DOI：10.1285/i20705948v2n1p67
语种：English
出版社：University of Salento
摘要：This article presents a simple and efficient method to detect multiple outliers using a modification of the Akaike's Information Criterion. The proposed method is exemplified using various examples and implemented in the statistical package R. The core features of the method are that it depends on simple computations, it does not depend on traditional p values, and it signals the absence of outliers. The proposed procedure is applicable to analyse data in all sciences.
关键词：Masking effect;outliers;AIC;Stirling’s formula
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