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Parisa Torkaman

Parisa Torkaman

Academic rank: Instructor
ORCID:
Education: MSc.
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Faculty: Mathematical Sciences and Statistics
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Research

Title
EFFICIENT ESTIMATION OF PARAMETERS OF THE GENERALIZED EXPONENTIATED DISTRIBUTION UNDER RANDOMLY RIGTH CENSORED DATA
Type
Presentation
Keywords
Generalized Exponentiated distribution, approximate maximum likelihood , Right censored data.
Year
2020
Researchers Parisa Torkaman

Abstract

Generalized exponentiated distribution introduced as an alternative to gamma and Weibull distributions is derived usefull applications in reliability and survival studies. In this paper, we compared the maximum likelihood estimator(MLE), the approximate maximum likelihood estimator(AMLE) and the approximate maximum likelihood Jackniffe estimator(AMLJE) of the parameters of the Generalized exponentiated distribution in case of the randomly right censored data. The performance of the MLE, AMLE and AMLJE are compared by the simulation study. Simulation study show that, AMLE and AMLJE be have better than MLE when the proposed model is misspecified and thay are not better when not so.