Extended Half-Power Exponential Distribution with Applications to COVID-19 Data

Autor:	Karol I. Santoro, Héctor J. Gómez, Inmaculada Barranco-Chamorro, Héctor W. Gómez
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	symmetric distributions nonnegative distributions kurtosis maximum likelihood COVID-19 data Mathematics QA1-939
Zdroj:	Mathematics, Vol 10, Iss 6, p 942 (2022)
Druh dokumentu:	article
ISSN:	2227-7390
DOI:	10.3390/math10060942
Popis:	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.
Databáze:	Directory of Open Access Journals
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