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An Investigation of the Effect of the Swamping Phenomenon on Several Block Procedures for Multiple Outliers in Univariate Samples

An Investigation of the Effect of the Swamping Phenomenon on Several Block Procedures for Multiple Outliers in Univariate Samples

作     者:Thomas W. Woolley 

作者机构:Department of Economics Finance and Quantitative Analysis Brock School of Business Samford University Birmingham Alabama USA 

出 版 物:《Open Journal of Statistics》 (统计学期刊(英文))

年 卷 期:2013年第3卷第5期

页      面:229-304页

学科分类:1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主  题:Outliers Outlier Detection Swamping Masking 

摘      要:In its broadest sense, this paper reviews the general outlier problem, the means available for addressing the discordancy (or lack thereof) of an outlier (or outliers), and possible strategies for dealing with them. Two alternate approaches to the multiple outlier problem, consecutive and block testing, and their respective inherent weaknesses, masking and swamping, are discussed. In addition, the relative susceptibility of several tests for outliers in normal samples to the swamping phenomena is reported.

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