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A look at some methods of characterizing probability distributions / Enas Mohammed Zaki ; Supervised Ali Ahmed Abdelrahman

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Enas Mohammed Zaki , 2017Description: 72 Leaves ; 30cmOther title:
  • اطلالة علي بعض طرق تمييز التوزيعات الاحتمالية [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Mathematical Statistics Summary: Theory of characterization is a very interesting branch of science which plays an important role in many fields such as mathematical statistics, reliability, statistical inference, theory of mixtures and actuarial science. It concerns with the characteristic properties of the probability distributions that helps researchers to distinguish them and in most cases determine distributions uniquely. Many concepts have been used to characterize different types of probability distributions. Some of the most used are: conditional expectation, mean residual life function, failure rate function, truncated moments, recurrence relations and order statistics. This thesis consist of 4 chapters : Chapter(1) consists of introduction and review literature Chapter (2) Use the double truncated moment to identify several distributions. Chapter (3) Uses the definition of order statistics to characterize some of probability distribution .Chapter(4) Uses the definition of mixture to characterize some of probability distribution
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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.2017.En.L (Browse shelf(Opens below)) Not for loan 01010110074658000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.03.M.Sc.2017.En.L (Browse shelf(Opens below)) 74658.CD Not for loan 01020110074658000

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

Theory of characterization is a very interesting branch of science which plays an important role in many fields such as mathematical statistics, reliability, statistical inference, theory of mixtures and actuarial science. It concerns with the characteristic properties of the probability distributions that helps researchers to distinguish them and in most cases determine distributions uniquely. Many concepts have been used to characterize different types of probability distributions. Some of the most used are: conditional expectation, mean residual life function, failure rate function, truncated moments, recurrence relations and order statistics. This thesis consist of 4 chapters : Chapter(1) consists of introduction and review literature Chapter (2) Use the double truncated moment to identify several distributions. Chapter (3) Uses the definition of order statistics to characterize some of probability distribution .Chapter(4) Uses the definition of mixture to characterize some of probability distribution

Issued also as CD

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