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Odds Generalized Exponential-Inverse Weibull Distribution: Properties & Estimation

Author(s)
Amal Soliman Hassan Mathematical Statistics, Cairo University Institute of Statistical Studies and Research, Giza, Egypt
Elsayed Ahmed Elsherpieny Mathematical Statistics, Cairo University Institute of Statistical Studies and Research, Giza, Egypt
Rokaya Elmorsy Mohamed Mathematical Statistics, Cairo University Institute of Statistical Studies and Research, Giza, Egypt
Abstract
Providing extended and generalized distribution is usually precious for many statisticians. A new distribution, called odds generalized exponential-inverse Weibull distribution (OGE-IW) is suggested for modeling lifetime data. Some structural properties of the new distribution are obtained. Three different estimation procedures, namely; maximum likelihood, percentiles and least squares, are used to estimate the model parameters of subject distribution. The consistency of the parameters of the OGE-IW distribution is demonstrated through a simulation study. A real data application is presented to illustrate the importance of the new distribution compared with some known distributions.
Publication Details
Page(s) 1-22
DOI DOI not available
Published Journal: Pakistan Journal of Statistics and Operation Research, Volume: 14, Issue: 1, Year: 2018

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Keywords
Maximum likelihood estimators, Inverse Weibull Distribution, Percentiles estimators, Least squares estimators, T-X family
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