Artículo
Statistical Inference for a General Family of Modified Exponentiated Distributions
Autor/es | Gómez Déniz, Emilio
Iriarte, Yuri A. Gómez, Yolanda M. Barranco Chamorro, Inmaculada Gómez, Héctor W. |
Departamento | Universidad de Sevilla. Departamento de Estadística e Investigación Operativa |
Fecha de publicación | 2021 |
Fecha de depósito | 2022-07-01 |
Publicado en |
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Resumen | In this paper, a modified exponentiated family of distributions is introduced. The new
model was built from a continuous parent cumulative distribution function and depends on a shape
parameter. Its most relevant ... In this paper, a modified exponentiated family of distributions is introduced. The new model was built from a continuous parent cumulative distribution function and depends on a shape parameter. Its most relevant characteristics have been obtained: the probability density function, quantile function, moments, stochastic ordering, Poisson mixture with our proposal as the mixing distribution, order statistics, tail behavior and estimates of parameters. We highlight the particular model based on the classical exponential distribution, which is an alternative to the exponentiated exponential, gamma and Weibull. A simulation study and a real application are presented. It is shown that the proposed family of distributions is of interest to applied areas, such as economics, reliability and finances. |
Cita | Gómez Déniz, E., Iriarte, Y.A., Gómez, Y.M., Barranco Chamorro, I. y Gómez, H.W. (2021). Statistical Inference for a General Family of Modified Exponentiated Distributions. Mathematics, 9, 2-18. |
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