EQUIVARIANT ESTIMATION FOR PARAMETERS OF EXPONENTIAL DISTRIBUTIONS BASED ON TYPE-II PROGRESSIVELY CENSORED SAMPLES

Abstract

ABSTRACT In this paper, we consider exponential models and obtain minimum risk equivariant estimators of the parameters based on Type-II progressively censored samples under standardized quadratic loss function. These generalize the corresponding results for Type-II censored samples. ACKNOWLEDGMENTS This work was completed when the first author visited the Department of Mathematics and Statistics, McMaster University, Canada. Thanks are due to the Natural Sciences and Engineering Research Council of Canada for funding this research.