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Estimation methods fr sample size with censored data / Asmaa Hussein Mokhtar Mohamed ; Supervised Abdallah M. Abdelfattah , Elsayed A. Elsherpiney

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Asmaa Hussein Mokhtar Mohamed , 2011Description: 100 Leaves ; 30cmOther title:
  • طرق تقدير حجم العينة للبيانات المراقبة [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Mathematical Statistics Summary: Using type -1 censored samples and exponential distribution marcus and blumenthal (1975) derived bayesian and non - bayesian estimators for the unknown sample size we derive unconditional and conditional maximum likelihood estimator also we derive bayesian estimators of the unknown sample size for the unknown sample size in type -1 censored samples using Marcus and Blumenthal approch when the underling distribution is generalized exponential
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.03.M.Sc.2011.As.E (Browse shelf(Opens below)) Not for loan 01010110055474000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.03.M.Sc.2011.As.E (Browse shelf(Opens below)) 55474.CD Not for loan 01020110055474000

Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Mathematical Statistics

Using type -1 censored samples and exponential distribution marcus and blumenthal (1975) derived bayesian and non - bayesian estimators for the unknown sample size we derive unconditional and conditional maximum likelihood estimator also we derive bayesian estimators of the unknown sample size for the unknown sample size in type -1 censored samples using Marcus and Blumenthal approch when the underling distribution is generalized exponential

Issued also as CD

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