The new Kumaraswamy Kumaraswamy weibull distribution with application

6Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.

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 generalizes many important distributions. 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 Kw Kw W distribution. An illustration study and a real data set are used to illustrate the potentiality and application of the new Kw Kw W distribution.

Cite

CITATION STYLE

APA

Mahmoud, M. R., El-Sherpieny, E. S. A., & Ahmed, M. 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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free