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Bayesian estimation of parameters of inverse Weibull distribution

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The present paper describes the Bayes estimators of parameters of inverse Weibull distribution for complete, type I and type II censored samples under general entropy and squared error loss functions. The proposed estimators have been compared on the basis of their simulated risks (average loss over sample space). A real-life data set is used to illustrate the results.
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Keywords: Bayes estimators; censoring; general entropy loss function; inverse Weibull distribution; simulated risk

Document Type: Research Article

Affiliations: Department of Statistics and DST-CIMS, Banaras Hindu University, Varanasi, 221005, India

Publication date: July 1, 2013

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