Journal of Statistical Theory and Applications

Volume 14, Issue 3, September 2015, Pages 222 - 239

The Kumaraswamy-G Poisson Family of Distributions

Authors
Manoel Wallace A. Ramos, Pedro Rafael D. Marinho, Gauss M. Cordeiro, Ronaldo V. da Silva, G.G. Hamedani, Joao Pessoa
Corresponding Author
Manoel Wallace A. Ramos
Received 25 December 2014, Accepted 30 April 2015, Available Online 1 September 2015.
DOI
10.2991/jsta.2015.14.3.1How to use a DOI?
Keywords
Kumaraswamy distribution; Kumaraswamy-G Poisson distribution; Poisson distribution; Maximum likelihood estimation
Abstract

For any baseline continuous G distribution, we propose a new generalized family called the Kumaraswamy-G Poisson (denoted with the prefix “Kw-GP”) with three extra positive parameters. Some special distributions in the new family such as the Kw-Weibull Poisson, Kw-gamma Poisson and Kw-beta Poisson distributions are introduced. We derive some mathematical properties of the new family including the ordinary moments, generating function and order statistics. The method of maximum likelihood is used to fit the distributions in the new family. We illustrate its potentiality by means of an application to a real data set.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Statistical Theory and Applications
Volume-Issue
14 - 3
Pages
222 - 239
Publication Date
2015/09/01
ISSN (Online)
2214-1766
ISSN (Print)
1538-7887
DOI
10.2991/jsta.2015.14.3.1How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Manoel Wallace A. Ramos
AU  - Pedro Rafael D. Marinho
AU  - Gauss M. Cordeiro
AU  - Ronaldo V. da Silva
AU  - G.G. Hamedani
AU  - Joao Pessoa
PY  - 2015
DA  - 2015/09/01
TI  - The Kumaraswamy-G Poisson Family of Distributions
JO  - Journal of Statistical Theory and Applications
SP  - 222
EP  - 239
VL  - 14
IS  - 3
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.2015.14.3.1
DO  - 10.2991/jsta.2015.14.3.1
ID  - Ramos2015
ER  -