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Bayesian Estimation for the Parameters of the WEM Based on GOS


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  • Product Description

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.

Product Specifications
SKU :COC76321
AuthorMazen Nassar and Samia Abu Elfotouh
Number of Pages116
Publishing Year2014-08-07T00:00:00.000
Edition1 st
Book TypeStochastics
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-10-08 00:00:00