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Parisa Torkaman

Parisa Torkaman

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

Title
A STUDY ON METHODS FOR ESTIMATING THE PARAMETERSA OF THE EXPONENTIATED WEIBULL DISTRIBUTION UNDER RANDOMLY RIGTH CENSORED DATA BASED ON MISSPESIFICATION OF MODEL
Type
Presentation
Keywords
ExponentiatedWeibull distribution, approximate maximum likelihood , Right censord data.
Year
2019
Researchers Parisa Torkaman

Abstract

Exponentiated Weibull distribution introduced as an extention of the weibull distribution is derived usefull applicationa 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 Jackni e estimator(AMLJE) of the parameters of the ex- ponentited weibull distribution in case of the randomly right censored data. The performance of the MLE,AMLE and AMLJE are copmared by the simu- lation stydy. Simulation study show that, AMLE and AMLJE be have better than MLE when the proposed model is misspeci ed and thay are not better when not so.