Artículo
Extended Half-Power Exponential Distribution with Applications to COVID-19 Data
Autor/es | Santoro, Karol I.
Gómez, Héctor J. Barranco Chamorro, Inmaculada Gómez, Héctor W. |
Departamento | Universidad de Sevilla. Departamento de Estadística e Investigación Operativa |
Fecha de publicación | 2022 |
Fecha de depósito | 2022-07-01 |
Publicado en |
|
Resumen | In this paper, the Extended Half-Power Exponential (EHPE) distribution is built on the basis
of the Power Exponential model. The properties of the EHPE model are discussed: the cumulative
distribution function, the hazard ... In this paper, the Extended Half-Power Exponential (EHPE) distribution is built on the basis of the Power Exponential model. The properties of the EHPE model are discussed: the cumulative distribution function, the hazard function, moments, and the skewness and kurtosis coefficients. Estimation is carried out by applying maximum likelihood (ML) methods. A Monte Carlo simulation study is carried out to assess the performance of ML estimates. To illustrate the usefulness and applicability of EHPE distribution, two real applications to COVID-19 data in Chile are discussed. |
Cita | Santoro, K.I., Gómez, H.J., Barranco Chamorro, I. y Gómez, H.W. (2022). Extended Half-Power Exponential Distribution with Applications to COVID-19 Data. Mathematics, 10, 2-16. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
Extended Half-Power Exponential ... | 4.758Mb | [PDF] | Ver/ | |