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Estimation of the parameters of the bivariate kumaraswamy lifetime distribution under censoring / Ola Alsayed Mohamed Hussin Abuelamayem ; Supervised Hanan M. Aly , Hiba Z. Muhammed

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ola Alsayed Mohamed Hussin Abuelamayem , 2016Description: 99 P. : charts ; 25cmOther title:
  • تقدير معالم توزيع كوماراسوامي الثنائي في ظل عينات المراقبة [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: Bivariate lifetime distributions are of great importance in reliability engineering. To understand and analyze the failure time of two variables interacting together, bivari- ate distributions is a must. Several bivariate families were constructed. Bivariate Marshll-Olkin family takes into consideration all di{uFB00}erent scenarios of the random variables (i.e. the {uFB01}rst random variable is smaller, greater or equal to the second random variable). Here, the likelihood function of progressive type I censoring is derived for the bivaraite Marshall-Olkin family in general, and then applied on the bivariate Ku- maraswamy lifetime distribution. Type I censoring and random censoring is applied on the bivariate Kumaraswamy lifetime distribution. Simulation study and an il- lustrative example are performed to investigate the performance of the likelihood functions
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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 Cai01.03.01.M.Sc.2016.Ol.E (Browse shelf(Opens below)) Not for loan 01010110070622000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.03.01.M.Sc.2016.Ol.E (Browse shelf(Opens below)) 70622.CD Not for loan 01020110070622000

Thesis (M.Sc.) - Cairo University - Faculty of Economics and Political Science - Department of Statistics

Bivariate lifetime distributions are of great importance in reliability engineering. To understand and analyze the failure time of two variables interacting together, bivari- ate distributions is a must. Several bivariate families were constructed. Bivariate Marshll-Olkin family takes into consideration all di{uFB00}erent scenarios of the random variables (i.e. the {uFB01}rst random variable is smaller, greater or equal to the second random variable). Here, the likelihood function of progressive type I censoring is derived for the bivaraite Marshall-Olkin family in general, and then applied on the bivariate Ku- maraswamy lifetime distribution. Type I censoring and random censoring is applied on the bivariate Kumaraswamy lifetime distribution. Simulation study and an il- lustrative example are performed to investigate the performance of the likelihood functions

Issued also as CD

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