Bayesian Estimation of variance components in nested models /
Hamdy Fayez Farahat
Bayesian Estimation of variance components in nested models / تقدير مكونات التباين فى النماذج المتداخلة باسلوب بايز Hamdy Fayez Farahat ; Supervised Tarik A.Amira , Alyaa Roshdy Zahran - Cairo : Hamdy Fayez Farahat , 2005 - 87p : charts ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty Of Economics and Political Science - Department Of Statistics
The Bayesian approach was used , in this study , to overcome the problem of possible negative estimate for the variance components of the classical approaches However , since the full Bayesian approach needs numerical integrations to obtain the marginal posterior distributions which are impossible in many situations , some of the Markov Chain Monte Carlo (MCMC) algorithms were implemented in the thesis
Bayesian inference Gibbs sampler Inverted gamma prior Nested mixed models Variance components
Bayesian Estimation of variance components in nested models / تقدير مكونات التباين فى النماذج المتداخلة باسلوب بايز Hamdy Fayez Farahat ; Supervised Tarik A.Amira , Alyaa Roshdy Zahran - Cairo : Hamdy Fayez Farahat , 2005 - 87p : charts ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty Of Economics and Political Science - Department Of Statistics
The Bayesian approach was used , in this study , to overcome the problem of possible negative estimate for the variance components of the classical approaches However , since the full Bayesian approach needs numerical integrations to obtain the marginal posterior distributions which are impossible in many situations , some of the Markov Chain Monte Carlo (MCMC) algorithms were implemented in the thesis
Bayesian inference Gibbs sampler Inverted gamma prior Nested mixed models Variance components