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INVERTED KUMARASWAMY DISTRIBUTION: PROPERTIES AND ESTIMATION

Author(s)
A. M. Abd AL-Fattah Statistics Department, Faculty of Commerce, AL-Azhar University (Girls' Branch),Cairo,Egypt
A.A. EL-Helbawy Statistics Department, Faculty of Commerce, AL-Azhar University (Girls' Branch),Cairo,Egypt
G.R. AL-Dayian Statistics Department, Faculty of Commerce, AL-Azhar University (Girls' Branch),Cairo,Egypt
Abstract
In this paper inverted Kumaraswamy distribution is introduced. Some of its properties are presented through, some models of stress strength, measures of central tendency and dispersion and order statistics. Some sub-models, limiting distributions and the relation between inverted Kumaraswamy and other distributions are derived. The maximum likelihood and Bayes estimators, confidence intervals for the parameters, the reliability and the hazard rate functions of the inverted Kumaraswamy distribution based on Type II censored samples are obtained. A numerical study is carried out to illustrate the theoretical results for both approaches, the maximum likelihood and the Bayesian estimation. Moreover, the results are applied on real data.
Publication Details
Page(s) 37-61
DOI DOI not available
Published Journal: Pakistan Journal of Statistics, Volume: 33, Issue: 1, Year: 2017

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Keywords
Monte Carlo simulation, Kumaraswamy distribution, Maximum likelihood estimation Type II censored, Stress-strength models, Markov Chain Monte Carlo (MCMC)., Bayesian estimation
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