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Bayesian Estimation of variance components in nested models / Hamdy Fayez Farahat ; Supervised Tarik A.Amira , Alyaa Roshdy Zahran

By: Contributor(s): Language: Eng Publication details: Cairo : Hamdy Fayez Farahat , 2005Description: 87p : charts ; 30cmOther title:
  • تقدير مكونات التباين فى النماذج المتداخلة باسلوب بايز [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty Of Economics and Political Science - Department Of Statistics Summary: 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
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Item type Current library Home library Call number Status Barcode
Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.03.01.M.Sc.2005.Ha.B. (Browse shelf(Opens below)) Not for loan 01010110044198000
CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.03.01.M.Sc.2005.Ha.B. (Browse shelf(Opens below)) Not for loan 01020110044198000

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

Issued also as CD

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