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Inference based on progressively censored sample from Pareto population
Authors:Lida Fallah  Leila Golparvar
Affiliation:School of Mathematics, Statistics and Computer Science, University of Tehran, Tehran, Iran
Abstract:
Abstract

In this paper, we assume that the lifetimes have a two-parameter Pareto distribution and discuss some results of progressive Type-II censored sample. We obtain maximum likelihood estimators and Bayes estimators of the unknown parameters under squared error loss and a precautionary loss functions in progressively Type-II censored sample. Robust Bayes estimation of unknown parameters over three different classes of priors under progressively Type-II censored sample, squared error loss, and precautionary loss functions are obtained. We discuss estimation of unknown parameters on competing risks progressive Type-II censoring. Finally, we consider the problem of estimating the common scale parameter of two Pareto distributions when samples are progressively Type-II censored.
Keywords:Bayes estimation  Competing risks model  Pareto distribution  Posterior regret Gamma minimax  Progressively Type-II right censored sample
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