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Transformations in Regression: A Robust Analysis
We consider two approaches to robust estimation for the Box-Cox power transfonnation "model. one approach maximizes weighted, modified likelihoods. A second approach bounds the self-standardized gross-error sensitivity, a measure of the potential influence of outliers pIoneered by KrasKer and Welsch (JASA, 1982). Among our primary concerns is the performance of these estimators on actual data. ln examples that we study, there seem to be only minor dIfferences beuween these three estlmators, butdoi:10.1080/00401706.1985.10488007 fatcat:2ln4tvfbyfhvfalwgrfgj5jes4