Kumaraswamy Modified Inverse Weibull Distribution: Theory and Application

Authors

Gokarna Aryal, Department of Mathematics, Computer Science, and Statistics, Purdue University Calumet, Hammond, IN, USAFollow
Ibrahim Elbatal, Institute of Statistical Studies and Research, Department of Mathematical Statistics, Cairo University, EgyptFollow

Author Country (or Countries)

USA

Abstract

In this article, we propose a generalization of the modified inverse Weibull distribution. The generalization are motivated by the recent work of Cordeiro et al. [2] and are based on the Kumaraswamy distribution. The generalized distribution is called the Kumaraswamy modified inverse Weibull(KMIW) distribution. We provide a comprehensive description of the structural properties of the subject distribution and explore some of its special cases. It will be shown that the analytical results are applicable to model real world data.

Recommended Citation

Aryal, Gokarna and Elbatal, Ibrahim (2015) "Kumaraswamy Modified Inverse Weibull Distribution: Theory and Application," Applied Mathematics & Information Sciences: Vol. 09: Iss. 2, Article 13.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol09/iss2/13