01974cam a2200325 a 4500 EG-GiCUC 20250223031730.0 170607s2016 ua d f m 000 0 eng d EG-GiCUC eng EG-GiCUC eng Deposite M.Sc Cai01.18.03.M.Sc.2016.Ah.O Ahmed Elshahhat Ebrahim Elsayed On a generalized progressive hybrid censoring scheme / Ahmed Elshahhat Ebrahim Elsayed ; Supervised Samir Kamel Ashour عن خطة مراقبة مهجنة معجلة معممة Cairo : Ahmed Elshahhat Ebrahim Elsayed , 2016 135 Leaves : charts ; 30cm Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Mathematical Statistics Bayesian and non-Bayesian estimators are obtained for the unknown parameters of Weibull distribution based on the generalized Type-II progressive hybrid censoring scheme and different special cases are obtained. The asymptotic variance covariance matrix and approximate confidence intervals based on the asymptotic normality of the maximum likelihood estimators are obtained. Bayes estimates and Bayes risks have been developed under a squared error loss function using informative and non-informative priors for the unknown Weibull parameters. It is observed that the estimators obtained are not available in closed forms, although they can be easily evaluated for a given sample by using suitable numerical methods. Therefore, a numerical example is considered to illustrate the proposed estimators Issued also as CD Asymptotic variance covariance matrix Bayes estimator Bayes risk Samir Kamel Ashour , Supervisor http://172.23.153.220/th.pdf Enas Cataloger Nazla Revisor ddc TH 61125 61125 ddc 0 CUCL cl210 2024-02-11 Cai01.18.03.M.Sc.2016.Ah.O 01010110070987000 2023-09-22 00:00:00 TH ddc 0 CUCL cl2u8 2024-02-11 Cai01.18.03.M.Sc.2016.Ah.O 01020110070987000 2023-09-22 00:00:00 70987.CD CD