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A Bivariate Geometric Distribution with Applications to Reliability
Authors:Hare Krishna  Pramendra Singh Pundir
Institution:1. Department of Statistics , Chaudhary Charan Singh University , Meerut, India hkrishnastats@yahoo.com;3. Department of Statistics , Chaudhary Charan Singh University , Meerut, India
Abstract:This article studies a bivariate geometric distribution (BGD) as a plausible reliability model. Maximum likelihood and Bayes estimators of parameters and various reliability characteristics are obtained. Approximations to the mean, variance, and Bayes risk of these estimators have been derived using Taylor's expansion. A Monte-Carlo simulation study has been performed to compare these estimators. At the end, the theory is illustrated with a real data set example of accidents.
Keywords:Bayes estimation  Bayes risk  Bivariate Dirichlet distribution  Bivariate geometric distribution  Maximum likelihood estimation
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