Estimators for Two Parameter Exponentiated Weibull Family Under Type-II Censoring Scheme
by
Pramod K. Gupta
Dept. of Statistics, Faculty of Science, Banaras Hindu Univesity, Varanasi-5 INDIA
Coauthors: Umesh Singh, S.K. Upadhyay (Dept. of Statistics, Faculty of Science, Banaras Hindu Univesity, Varanasi-5 INDIA)

Bayes and classical estimators for two parameter exponentiated Weibull distribution have been obtained in this paper when type-II censored sample is available to us. Bayes estimators have been developed under squared error loss function as well as under LINEX loss function using non-informative type of priors for parameter. Besides the generalized maximum likelihood estimators and the usual maximum likelihood estimators have also been attempted. It has been seen that the estimators obtained are not available in nice closed forms, although they can be easily calculated for the given sample by using suitable numerical methods. The performance of the proposed estimators have been compared on the basis of their simulated risk (average loss over sample space) obtained under squared error as well as LINEX loss functions. These estimators are illustrated for a simulated data set.

Date received: September 21, 2002

Copyright © 2002 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cais-20.