A Comparative Study of Correlational Outlier Detection Metrics

A Comparative Study of Correlational Outlier Detection Metrics

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Both majority and contaminant observations were generated from multivariate normal distributions based on factor-analytic models. Experimental factors included majority versus contaminant communality level, majority-contaminant factor models scenario, number of variables, sample size and fraction of outliers.Another univariate example is the guideline that standardized scores exceeding a certain cut-off value (usually 3.00) should be flagged as potential outliers (this practice assumes that the data came from a normally distributed population).


Title:A Comparative Study of Correlational Outlier Detection Metrics
Author: Paul Muse Ritter
Publisher:ProQuest - 2008
ISBN-13:

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