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log-logistic survival estimation based on failure-censored data
Authors:H A Howlader  G Weiss
Institution:University of Winnipeg
Abstract:Approximations of the Bayesian estimators of the survival function based on the censored data of the log-logistic distribution are obtained under squared-error and log-odds squared-error loss functions. A numerical example is presented. Through a Monte Carlo simulation study, the behavior of the approximations found by Tierney & Kadane and Lindley are compared with a method suggested by Weiss & Howlader.
Keywords:
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