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Bayesian Non - parametric Estimation in Proportional Hazard Models / Ayman Ahmed Mostafa ; Supervised Shaban Abd El hameed Shaban

By: Contributor(s): Language: Eng Publication details: Cairo : Ayman Ahmed Mostafa , 2006Description: 166P : charts ; 30cmOther title:
  • تقدير بييز اللامعلمى لنماذج الاخطار المتناسبة [Added title page title]
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Dissertation note: Thesis (Ph.D.) - Cairo University - Institute Of Statistical Studies and Research - Department Of Mathematical Statistics Summary: In survival analysis , the proportional hazard model (PHM) was introduced by Cox (1972) in order to estimate the effects of different covariates influencing the times - to - event data The PHM has been used extensively in biomedicine , reliability engineering and , recently , interest in its application in different areas of knowledge (eg , social , economic , actuarial sciences) has increased
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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.03.Ph.D.2006.Ay.B (Browse shelf(Opens below)) Not for loan 01010110046462000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.03.Ph.D.2006.Ay.B (Browse shelf(Opens below)) 46462.CD Not for loan 01020110046462000

Thesis (Ph.D.) - Cairo University - Institute Of Statistical Studies and Research - Department Of Mathematical Statistics

In survival analysis , the proportional hazard model (PHM) was introduced by Cox (1972) in order to estimate the effects of different covariates influencing the times - to - event data The PHM has been used extensively in biomedicine , reliability engineering and , recently , interest in its application in different areas of knowledge (eg , social , economic , actuarial sciences) has increased

Issued also as CD

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