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Bayesian Estimation for the Parameters of the Wem Based on Gos Samia Abu Elfotouh
Bayesian Estimation for the Parameters of the Wem Based on Gos
Samia Abu Elfotouh
In this work, the estimation problem for the unknown parameters of Weibull extension model (WEM) is investigated based on generalized order statistics. Maximum likelihood estimators and their asymptotic variance-covariance matrix are derived, also Bayes estimators using symmetric squared error loss function are obtained using non-informative type of priors for the parameters. Some numerical results using simulation study are reported.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | August 7, 2014 |
| ISBN13 | 9783659578816 |
| Publishers | LAP LAMBERT Academic Publishing |
| Pages | 116 |
| Dimensions | 152 × 229 × 7 mm · 191 g |
| Language | German |
See all of Samia Abu Elfotouh ( e.g. Paperback Book )