Please use this identifier to cite or link to this item:
https://repositorio.ufrn.br/handle/123456789/49677
Title: | A new compounding family of distributions: the generalized gamma power series distributions |
Authors: | Silva, Rodrigo B. Bourguignon, Marcelo Cordeiro, Gauss M. |
Keywords: | Generalized gamma distribution;Generating function;Maximum likelihood estimator;Moment;Power series distribution |
Issue Date: | Jan-2016 |
Publisher: | Journal of Computational and Applied Mathematics |
Citation: | SILVA, Rodrigo B.; BOURGUIGNON, Marcelo; CORDEIRO, Gauss M. . A new compounding family of distributions: The generalized gamma power series distributions. Journal of Computational and Applied Mathematics , v. 303, p. 119-139, 2016. Disponível em:http://www.sciencedirect.com/science/article/pii/S0377042716300802?via%3Dihub. Acesso em: 07 dez. 2016 |
Portuguese Abstract: | We propose a new four-parameter family of distributions by compounding the generalized gamma and power series distributions. The compounding procedure is based on the work by Marshall and Olkin (1997) and defines 76 sub-models. Further, it includes as special models the Weibull power series and exponential power series distributions. Some mathematical properties of the new family are studied including moments and generating function. Three special models are investigated in detail. Maximum likelihood estimation of the unknown parameters for complete sample is discussed. Two applications of the new models to real data are performed for illustrative purposes. |
URI: | https://repositorio.ufrn.br/handle/123456789/49677 |
ISSN: | 0377-0427 |
Appears in Collections: | CCET - DEST - Artigos publicados em periódicos |
Files in This Item:
File | Description | Size | Format | |
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AnewCompoundingFamily_2016.pdf | 904,49 kB | Adobe PDF | View/Open |
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