Bayes estimation of a two-parameter geometric distribution under multiply type II censoring
type: Item
instance of: scholarly article
title: Bayes estimation of a two-parameter geometric distribution under multiply type II censoring
zbMATH Open document ID: 1234.62023
DOI: 10.1155/2011/618347
author: J. B. Shah
author: M. N. Patel
published in: International Journal of Quality, Statistics, and Reliability
publication date: 2012-03-13T00:00:00Z
review text: Summary: We derive Bayes estimators of the reliability and the parameters of a two-parameter geometric distribution under general entropy loss, minimum expected loss and linex loss functions for a noninformative as well as beta priors from multiply Type II censored data. We have studied the robustness of the estimators using simulations and we observed that the Bayes estimators of the reliability and the parameters of a two-parameter geometric distribution under all the above loss functions appear to be robust with respect to the correct choice of the hyperparameters \(a(b)\) and a wrong choice of the prior parameters \(b(a)\) of the beta prior.
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62N01
Mathematics Subject Classification ID: 62F35
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 6014421
Wikidata QID: Q58692103
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2011/618347
OpenAlex ID: W2044869542
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description: scientific article; zbMATH DE number 6014421