Ram B Jain1. 1. Centers for Disease Control and Prevention, 4770 Buford Highway, Chamblee, GA 30341, USA. rij0@cdc.gov
Abstract
OBJECTIVE: To compare the performance of Grubbs' outlier detection procedure with recursive Extreme Studentized Deviate (ESD) outlier detection procedure. DESIGN AND METHODS: Using simulated data, the powers of Grubbs' and ESD procedures were evaluated. RESULTS: Except when the sample contained exactly one outlier, the power of ESD procedure was higher than that of Grubbs' procedure. CONCLUSION: The ESD recursive procedure is the procedure of choice to detect multiple outliers in environmental and chemical data. Published by Elsevier Inc.
OBJECTIVE: To compare the performance of Grubbs' outlier detection procedure with recursive Extreme Studentized Deviate (ESD) outlier detection procedure. DESIGN AND METHODS: Using simulated data, the powers of Grubbs' and ESD procedures were evaluated. RESULTS: Except when the sample contained exactly one outlier, the power of ESD procedure was higher than that of Grubbs' procedure. CONCLUSION: The ESD recursive procedure is the procedure of choice to detect multiple outliers in environmental and chemical data. Published by Elsevier Inc.
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