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A Decision – Theoretic Bayesian ApproachFor Selecting the Best of Gamma PopulationsWith General Loss Function
| Content Provider | Semantic Scholar |
|---|---|
| Author | Hathot, Samira Faisal |
| Copyright Year | 2010 |
| 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 decisiontheoretic 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 . |
| Starting Page | 318 |
| Ending Page | 325 |
| Page Count | 8 |
| File Format | PDF HTM / HTML |
| Volume Number | 8 |
| Alternate Webpage(s) | http://www.iasj.net?aId=18999&func=fulltext |
| Alternate Webpage(s) | http://uokerbala.edu.iq/research/magazine/2010/Science/A%20Decision%20%EF%BF%BD%20Theoretic%20Bayesian%20Approach%20For%20Selecting%20the%20Best%20of%20Gamma%20Populations.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
