Extended Half-Power Exponential Distribution with Applications to COVID-19 Data
Extended Half-Power Exponential Distribution with Applications to COVID-19 Data
Authors
Santoro, Karol, I
Gomez, Hector J.
Barranco Chamorro, Inmaculada
Gomez, Hector W.
Gomez, Hector J.
Barranco Chamorro, Inmaculada
Gomez, Hector W.
Profesor GuĆa
Authors
Date
Datos de publicaciĆ³n:
10.3390/math10060942
MATHEMATICS,Vol.10,,2022
MATHEMATICS,Vol.10,,2022
Tipo de recurso
Article
Keywords
Materia geogrƔfica
Collections
Abstract
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.