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Abstract

             The Weibull distribution has been used over the past decades for modeling data in many fields so finding generalization of the Weibull distribution becomes very useful to fit more cases or get better fits than before. In this paper, the Kumaraswamy  Kumaraswamy Weibull (Kw Kw W) distribution is presented for the first time and we show that it is generalizes many important distribution. The probability density function (pdf), the cumulative distribution function (cdf), moments, quantiles, the median, the mode, the mean deviation, the entropy, order statistics, L-moments, extreme value and parameters estimation based on maximum likelihood are obtained for the Kumaraswamy Kumaraswamy Weibull distribution. A simulation study and a real data set is used to illustrate the potentiality and application of the new Kumaraswamy Kumaraswamy Weibull distribution.

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Author Biographies

Mohamed Ali Ahmed, Cairo University Institute of Statistical Studies and Research (ISSR)

Mathematical Statistics Departement, Ph.D

Mahmoud Riad Mahmoud, Cairo University Institute of Statistical Studies and Research (ISSR)

Mathematical Statistics Departement, Prof

Elsayed Ahmed ElSherpieny, Cairo University Institute of Statistical Studies and Research (ISSR)

Mathematical Statistics Departement, Prof
How to Cite
Ahmed, M. A., Mahmoud, M. R., & ElSherpieny, E. A. (2016). The New Kumaraswamy Kumaraswamy Weibull Distribution with Application. Pakistan Journal of Statistics and Operation Research, 12(1), 165-184. https://doi.org/10.18187/pjsor.v12i1.1129

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