Your browser doesn't support javascript.
loading
A novel flexible exponent power-X family of distributions with applications to COVID-19 mortality rate in Mexico and Canada.
Shah, Zubir; Khan, Dost Muhammad; Khan, Imad; Ahmad, Bakhtiyar; Jeridi, Mouna; Al-Marzouki, Sanaa.
Afiliação
  • Shah Z; Abdul Wali Khan University Mardan, Mardan, Pakistan.
  • Khan DM; Abdul Wali Khan University Mardan, Mardan, Pakistan.
  • Khan I; Abdul Wali Khan University Mardan, Mardan, Pakistan.
  • Ahmad B; Higher Education Department Afghanistan, Kart-e-Char, Afghanistan. mbakahmad82@gmail.com.
  • Jeridi M; Biology Department, College of Science, King Khalid University, 61413, Abha, Saudi Arabia.
  • Al-Marzouki S; Statistics Department, Faculty of Science, King Abdul Aziz University Jeddah, Jeddah, Kingdom of Saudi Arabia.
Sci Rep ; 14(1): 8992, 2024 04 18.
Article em En | MEDLINE | ID: mdl-38637663
ABSTRACT
This paper aims to introduce a novel family of probability distributions by the well-known method of the T-X family of distributions. The proposed family is called a "Novel Generalized Exponent Power X Family" of distributions. A three-parameters special sub-model of the proposed method is derived and named a "Novel Generalized Exponent Power Weibull" distribution (NGEP-Wei for short). For the proposed family, some statistical properties are derived including the hazard rate function, moments, moment generating function, order statistics, residual life, and reverse residual life. The well-known method of estimation, the maximum likelihood estimation method is used for estimating the model parameters. Besides, a comprehensive Monte Carlo simulation study is conducted to assess the efficacy of this estimation method. Finally, the model selection criterion such as Akaike information criterion (AINC), the correct information criterion (CINC), the Bayesian information criterion (BINC), the Hannan-Quinn information criterion (HQINC), the Cramer-von-Misses (CRMI), and the ANDA (Anderson-Darling) are used for comparison purpose. The comparison of the NGEP-Wei with other rival distributions is made by Two COVID-19 data sets. In terms of performance, we show that the proposed method outperforms the other competing methods included in this study.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Limite: Humans País/Região como assunto: Mexico Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Paquistão

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Limite: Humans País/Região como assunto: Mexico Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Paquistão
...