| Élément Dublin Core | Valeur | Langue |
|---|
| dc.contributor.author | Cardial, Marcílio Ramos Pereira | - |
| dc.contributor.author | Gomes, Juliana Betini Fachini | - |
| dc.contributor.author | Nakano, Eduardo Yoshio | - |
| dc.date.accessioned | 2023-09-22T14:58:25Z | - |
| dc.date.available | 2023-09-22T14:58:25Z | - |
| dc.date.issued | 2020-03-28 | - |
| dc.identifier.citation | 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. | pt_BR |
| dc.identifier.uri | http://repositorio2.unb.br/jspui/handle/10482/46533 | - |
| dc.language.iso | eng | pt_BR |
| dc.publisher | Editora UFLA | pt_BR |
| dc.rights | Acesso Aberto | pt_BR |
| dc.title | Exponentiated discrete weibull distribution for censored data | pt_BR |
| dc.type | Artigo | pt_BR |
| dc.subject.keyword | Análise de sobrevivência (Biometria) | pt_BR |
| dc.subject.keyword | Distribuição (Probabilidades) | pt_BR |
| dc.subject.keyword | Inferência bayesiana | pt_BR |
| dc.rights.license | 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. | pt_BR |
| dc.identifier.doi | https://doi.org/10.28951/rbb.v38i1.425 | pt_BR |
| dc.description.abstract1 | 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. | pt_BR |
| dc.contributor.affiliation | Universidade de Brasília | pt_BR |
| dc.contributor.affiliation | Universidade de Brasília | pt_BR |
| dc.contributor.affiliation | Universidade de Brasília | pt_BR |
| dc.description.unidade | Instituto de Ciências Exatas (IE) | pt_BR |
| dc.description.unidade | Departamento de Estatística (IE EST) | pt_BR |
| Collection(s) : | Artigos publicados em periódicos e afins
|
