Título:	Exponentiated discrete weibull distribution for censored data
Autor(es):	Cardial, Marcílio Ramos Pereira Gomes, Juliana Betini Fachini Nakano, Eduardo Yoshio
Afiliação do autor:	Universidade de Brasília Universidade de Brasília Universidade de Brasília
Assunto:	Análise de sobrevivência (Biometria) Distribuição (Probabilidades) Inferência bayesiana
Data de publicação:	28-Mar-2020
Editora:	Editora UFLA
Referência:	CARDIAL, Marcílio Ramos Pereira; FACHINI-GOMES, Juliana Betini; NAKANO, Eduardo Yoshio. Exponentiated discrete weibull distribution for censored data. Brazilian Journal of Biometrics, Lavras, v. 38, n. 1, p. 35–56, 2020. DOI: 10.28951/rbb.v38i1.425. Disponível em: https://biometria.ufla.br/index.php/BBJ/article/view/425. Acesso em: 22 set. 2023.
Abstract:	This paper further develops the statistical inference procedure of the exponentiated discrete Weibull distribution (EDW) for data with the presence of censoring. This generalization of the discrete Weibull distribution has the advantage of being suitable to model non-monotone failure rates, such as those with bathtub and unimodal distributions. Inferences about EDW distribution are presented using both frequentist and bayesian approaches. In addition, the classical Likelihood Ratio Test and a Full Bayesian Significance Test (FBST) were performed to test the parameters of EDW distribution. The method presented is applied to simulated data and illustrated with a real dataset regarding patients diagnosed with head and neck cancer.
Unidade Acadêmica:	Instituto de Ciências Exatas (IE) Departamento de Estatística (IE EST)
Licença:	Brazilian Journal of Biometrics All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution-NonCommercial 4.0 International Public License (CC BY-NC 4.0). Fonte: https://biometria.ufla.br/index.php/BBJ/article/view/425. Acesso em: 22 set. 2023.
DOI:	https://doi.org/10.28951/rbb.v38i1.425
Aparece nas coleções:	Artigos publicados em periódicos e afins

Os itens no repositório estão protegidos por copyright, com todos os direitos reservados, salvo quando é indicado o contrário.