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Abstract
In this paper we develop approximate Bayes estimators of the parameters,
reliability, and hazard rate functions of the Logistic distribution by using Lindley’s
approximation, based on progressively type-II censoring samples. Noninformative
prior distributions are used for the parameters. Quadratic, linex
and general Entropy loss functions are used. The statistical performances of the
Bayes estimates relative to quadratic, linex and general entropy loss functions
are compared to those of the maximum likelihood based on simulation study.
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