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A Discrete Kumaraswamy Marshall-Olkin Exponential Distribution.

Authors :
Gillariose, Jiju
Tomy, Lishamol
Jamal, Farrukh
Chesneau, Christophe
Source :
Journal of the Iranian Statistical Society; 2021, Vol. 20 Issue 2, p129-152, 24p
Publication Year :
2021

Abstract

Finding new families of distributions has become a popular tool in statistical research. In this article, we introduce a new flexible four-parameter discrete model based on the Marshall-Olkin approach, namely, the discrete Kumaraswamy Marshall-Olkin exponential distribution. The proposed distribution can be viewed as another generalization of the geometric distribution and enfolds some important distributions as special cases. Some properties of the new distribution are derived. The model parameters are estimated by the maximum likelihood method, with validation through a complete simulation study. The usefulness of the new model is illustrated via counttype real data sets. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17264057
Volume :
20
Issue :
2
Database :
Complementary Index
Journal :
Journal of the Iranian Statistical Society
Publication Type :
Academic Journal
Accession number :
156406512