Bayesian analysis for burr distribution type XII based on trimmed samples / Maisaa Mohamed Mohamed Hasen ; Supervised Abdallah Mohamed , Elsayed Elsherpieny

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Maisaa Mohamed Mohamed Hassan

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TextLanguage: English Publication details: Cairo : Maisaa Mohamed Mohamed Hassan , 2011Description: 84 Leaves ; 30cmOther title:

تحليل بييز لتوزيع بيير من النوع الثاني عشر في ظل العينات المبتورة [Added title page title]

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Dissertation note: Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Mathematical Statistics Summary: ٍStudy non bayesian and bayesian estimators of the unknown parameters of the Burr type XII distribution based on doubly censored type II. The problem discussed using maximum likelihood method and bayesian approach to estimate the shape parameters of the Burr type XII distribution and they are three form of loss function which are appropriation particular problems as quadratic

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Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.18.03.M.Sc.2011.Ma.B (Browse shelf(Opens below))		Not for loan		01010110056033000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.18.03.M.Sc.2011.Ma.B (Browse shelf(Opens below))	56033.CD	Not for loan		01020110056033000

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Previous	Cai01.18.03.M.Sc.2011.Ha.F Fuzzy inference of fuzzy regression models /	Cai01.18.03.M.Sc.2011.Ha.P Parameters eastimation based on ranked set sampling /	Cai01.18.03.M.Sc.2011.Ha.P Parameters eastimation based on ranked set sampling /	Cai01.18.03.M.Sc.2011.Ma.B Bayesian analysis for burr distribution type XII based on trimmed samples /	Cai01.18.03.M.Sc.2011.Ma.B Bayesian analysis for burr distribution type XII based on trimmed samples /	Cai01.18.03.M.Sc.2011.Ma.T Trimmed L-moments for skew-normal distribution /	Cai01.18.03.M.Sc.2011.Ma.T Trimmed L-moments for skew-normal distribution /	Next

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

ٍStudy non bayesian and bayesian estimators of the unknown parameters of the Burr type XII distribution based on doubly censored type II. The problem discussed using maximum likelihood method and bayesian approach to estimate the shape parameters of the Burr type XII distribution and they are three form of loss function which are appropriation particular problems as quadratic

Issued also as CD

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