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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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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 -