Ahmed Elshahhat Ebrahim Elsayed creator Samir Kamel Ashour Supervisor text theses ua Cairo Ahmed Elshahhat Ebrahim Elsayed 2016 monographic eng

print

135 Leaves : charts ; 30cm 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 specialized Ahmed Elshahhat Ebrahim Elsayed ; Supervised Samir Kamel Ashour Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Mathematical Statistics Issued also as CD Asymptotic variance covariance matrix Bayes estimator Bayes risk http://172.23.153.220/th.pdf http://172.23.153.220/th.pdf EG-GiCUC 170607 20250223031730.0 eng