Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/128638
Título: Scale Mixture of Exponential Distribution with an Application
Autores/as: Barahona, Jorge A.
Gómez, Yolanda M.
Gómez Déniz, Emilio 
Venegas, Osvaldo
Gómez, Héctor W.
Clasificación UNESCO: 5302 Econometría
Palabras clave: Em Algorithm
Exponential Distribution
Kurtosis
Maximum Likelihood Estimator
Slash Distribution, et al.
Fecha de publicación: 2024
Publicación seriada: Mathematics 
Resumen: This article presents an extended distribution that builds upon the exponential distribution. This extension is based on a scale mixture between the exponential and beta distributions. By utilizing this approach, we obtain a distribution that offers increased flexibility in terms of the kurtosis coefficient. We explore the general density, properties, moments, asymmetry, and kurtosis coefficients of this distribution. Statistical inference is performed using both the moments and maximum likelihood methods. To show the performance of this new model, it is applied to a real dataset with atypical observations. The results indicate that the new model outperforms two other extensions of the exponential distribution.
URI: http://hdl.handle.net/10553/128638
ISSN: 2227-7390
DOI: 10.3390/math12010156
Fuente: Mathematics, [EISSN 2227-7390],v. 12 (1), 156, (Enero 2024)
Colección:Artículos
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