Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/27666
Title: A new wider family of continuous models: The Extended Cordeiro and de Castro Family
Authors: Cordeiro, Gauss M.
Alizadeh, Morad
Silva, Rodrigo B.
GENTIL RAMIRES, Thiago 
Issue Date: 2018
Publisher: HACETTEPE UNIV, FAC SCI
Source: HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS, 47(4), p. 937-961
Abstract: We introduce and study general mathematical properties of a new generator of continuous distributions with three extra parameters called the extended Cordeiro and de Castro family. We investigate the asymptotes and shapes. The new density function can be expressed as a linear combination of exponentiated densities based on the same underlying distribution. We derive a power series for the quantile function of this family. We determine explicit expressions for the ordinary and incomplete moments, quantile and generating functions, asymptotic distribution of the extreme values, Shannon and Renyi entropies and order statistics, which hold for any baseline model. We discuss the estimation of the model parameters by maximum likelihood and illustrate the potentiality of the introduced family by means of two applications to real data.
Notes: [Cordeiro, Gauss M.] Univ Fed Pernambuco, Dept Estat, Cidade Univ, BR-50740540 Recife, PE, Brazil. [Alizadeh, Morad] Persian Gulf Univ, Dept Stat, Shahid Mahini St, Boushehr 7516913817, Iran. [Silva, Rodrigo B.] Univ Fed Paraiba, Dept Estat, Cidade Univ, BR-58051900 Joao Pessoa, Paraiba, Brazil. [Ramires, Thiago G.] Univ Sao Paulo, Dept Estat, ESALQ, BR-13418900 Piracicaba, SP, Brazil. [Ramires, Thiago G.] Univ Hasselt, Interuniv Inst Biostat & Stat Bioinformat I Biost, Hasselt, Belgium.
Keywords: Generalized exponential geometric distribution; Generated family; Maximum likelihood; Quantile function; Renyi entropy;Generalized exponential geometric distribution; Generated family; Maximum likelihood; Quantile function; Rényi entropy
Document URI: http://hdl.handle.net/1942/27666
ISSN: 1303-5010
DOI: 10.15672/HJMS.201615122074
ISI #: 000440677100014
Category: A1
Type: Journal Contribution
Validations: ecoom 2019
Appears in Collections:Research publications

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