Equivariant Estimation of the Parameter of a Location Model Based on General Progressive Type II Right Censored Sample
Journal Title: INTERNATIONAL JOURNAL OF MATHEMATICS TRENDS AND TECHNOLOGY - Year 2014, Vol 5, Issue 3
Abstract
In this paper, by assuming that a general progressive Type II right censored sample is available, we obtain Minimum Risk Equvariant (MRE) estimator for the parameter of the exponential model in three situations. These generalize the results of Chandrasekar et.al. (2002 ) for progressive Type II right censored sample . The paper is organized as follows : Section 2 deals with the problem of equivariant estimation under Squared error loss function. Section 3 discusses the problem of equivariant estimation under Absolute error loss function. In the last Section, we consider the problem of equivariant estimation of the parameter under Linex loss function (Varian,1975).
Authors and Affiliations
Leo Alexander, T
Keywords
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