@article{paperid:1030729,
author = {Habibirad, Arezou and , },
title = {An EM Algorithm for Estimating the Parameters of the Generalized Exponential Distribution under Unified Hybrid Censored Data},
journal = {پژوهش های آماری ایران-Journal of Statistical Research of Iran},
year = {2011},
volume = {8},
number = {2},
month = {January},
issn = {1735-1294},
pages = {149--162},
			numpages = {13},
keywords = {The unified hybrid censoring is a mixture of generalized Type-I
and Type-II hybrid censoring schemes. This article presents the statistical inferences
on Generalized Exponential Distribution parameters when the data
are obtained from the unified hybrid censoring scheme. It is observed that the
maximum likelihood estimators can not be derived in closed form. The EM
algorithm for computing the maximum likelihood estimators is proposed. We
calculated the observed Fisher information matrix using the missing information
principle which is useful for constructing the asymptotic confidence
intervals. Simulations studies are performed to compare the performances
of the estimators obtained under different schemes. Finally; a real data set
has been analyzed for illustrative purposes.},
}