Bayesian Fixed Sample Size Procedure for Selecting the Better of Two Poisson Populations With General Loss Function
DOI:
https://doi.org/10.31642/JoKMC/2018/010604Keywords:
selection procedure, Bayesian decision theoretic, Bayes riskAbstract
In this paper an optimal (Bayesian) fixed sample size procedure for selecting the better of two Poisson populations is proposed and studied . Bayesian decision-theoretic approach with general loss function and Gamma priors are used to construct this procedure .
The numerical result of this procedure are given with different loss functions constant , linear and quadratic , in one equation we can obtain the Bayes risk for the three types of the loss functions : constant , linear and quadratic . in this paper the numerical results are given by using Math Works Matlab ver. 7.10.0 .
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Copyright (c) 2014 Samira Faisal Hathoot
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