The bivariate Kumaraswamy Weibull regression model: a complete classical and Bayesian analysis (2018)
- Autores:
- Autores USP: ORTEGA, EDWIN MOISES MARCOS - ESALQ ; SUZUKI, ADRIANO KAMIMURA - ICMC
- Unidades: ESALQ; ICMC
- DOI: 10.29220/CSAM.2018.25.5.523
- Assuntos: INFERÊNCIA BAYESIANA; DADOS CENSURADOS; ANÁLISE DE SOBREVIVÊNCIA
- Palavras-chave do autor: bivariate failure time; diagnostics
- Idioma: Inglês
- Imprenta:
- Local: Seoul, Korea
- Data de publicação: 2018
- Fonte:
- Título do periódico: Communications for Statistical Applications and Methods
- ISSN: 2287-7843
- Volume/Número/Paginação/Ano: v. 25, n. 5, p. 523-544, Set. 2018
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
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ABNT
FACHINI-GOMES, Juliana B. et al. The bivariate Kumaraswamy Weibull regression model: a complete classical and Bayesian analysis. Communications for Statistical Applications and Methods, v. 25, n. 5, p. 523-544, 2018Tradução . . Disponível em: https://doi.org/10.29220/CSAM.2018.25.5.523. Acesso em: 26 abr. 2024. -
APA
Fachini-Gomes, J. B., Ortega, E. M. M., Cordeiro, G. M., & Suzuki, A. K. (2018). The bivariate Kumaraswamy Weibull regression model: a complete classical and Bayesian analysis. Communications for Statistical Applications and Methods, 25( 5), 523-544. doi:10.29220/CSAM.2018.25.5.523 -
NLM
Fachini-Gomes JB, Ortega EMM, Cordeiro GM, Suzuki AK. The bivariate Kumaraswamy Weibull regression model: a complete classical and Bayesian analysis [Internet]. Communications for Statistical Applications and Methods. 2018 ; 25( 5): 523-544.[citado 2024 abr. 26 ] Available from: https://doi.org/10.29220/CSAM.2018.25.5.523 -
Vancouver
Fachini-Gomes JB, Ortega EMM, Cordeiro GM, Suzuki AK. The bivariate Kumaraswamy Weibull regression model: a complete classical and Bayesian analysis [Internet]. Communications for Statistical Applications and Methods. 2018 ; 25( 5): 523-544.[citado 2024 abr. 26 ] Available from: https://doi.org/10.29220/CSAM.2018.25.5.523 - Bivariate odd-log-logistic-Weibull regression model for oral health-related quality of life
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Informações sobre o DOI: 10.29220/CSAM.2018.25.5.523 (Fonte: oaDOI API)
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