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A Decision – Theoretic Bayesian ApproachFor Selecting the Best of Gamma PopulationsWith General Loss Function | ||
| journal of kerbala university | ||
| Article 1, Volume 5, Issue 3, 2009, Pages 318-325 PDF (0 K) | ||
| Author | ||
| Samira Faisal Hathot | ||
| Abstract | ||
| Statistical selection procedures are used to select the best of a finite set of alternatives. This paper derives a procedure for selecting the best of two Gamma populations employing a decision-theoretic Bayesian framework with general loss function with Exponential prior . The numerical result of this procedure are given with different loss functions constant , linear and quadratic , where 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. 7.0.1 . | ||
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