Advances and Applications in Statistics
Volume 51, Issue 1, Pages 1 - 15
(July 2017) http://dx.doi.org/10.17654/AS051010001 |
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BAYESIAN ESTIMATION FOR THE PARAMETERS OF POISSON-LOMAX DISTRIBUTION USING CONDITIONAL AND UNCONDITIONAL GAMMA PRIORS
Saman Hanif Shahbaz, Saeed Al-Ghamdi, Khushnoor Khan and Muhammad Qaiser Shahbaz
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Abstract: In this paper, we have performed Bayesian estimation of parameters of Poisson-Lomax distribution. The estimation has been done by using gamma priors under two situations, namely, unconditional and conditional priors. We have performed MCMC study under Metropolis-Hasting algorithm to estimate the parameters numerically. The estimation has been done under squared error and MLINEX loss functions. |
Keywords and phrases: Bayes estimation, Poisson-Lomax distribution, gamma priors, loss functions. |
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