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A note on james type robust estimators
Authors:Indrani Basak
Institution:Pennsylvania State University Altoona Campus , Altoona, PA, 16601-3760
Abstract:M-estimation of a single parameter of the life time distribution is considered based on independent and identically distributed survival data which may be randomly censored. The most robust and the optimal robust M-estimators of the location parameters of the survival time distribution are derived within a class considered in James (1986) as well as for the general unrestricted class. The properties of the estimators corresponding to the above two classes are discussed. A data set is used to illustrate the usefulness of the optimal robust estimators for the parameter of extreme value distribution.
Keywords:asymptotic variance  breakdown point  gross error sensitivity  influence function  most robust estimators  optimal robust estimators  random censoring
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