Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach (2017)
- Authors:
- USP affiliated authors: CANCHO, VICENTE GARIBAY - ICMC ; LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1080/00949655.2017.1306860
- Subjects: ESTATÍSTICA; ESTATÍSTICA APLICADA; INFERÊNCIA ESTATÍSTICA; INFERÊNCIA BAYESIANA; PROBABILIDADE; ANÁLISE DE SOBREVIVÊNCIA
- Keywords: Generalized Birnbaum–Saunders distributions; influential observations; Kullback–Leibler divergence; sinh-spherical distribution
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Journal of Statistical Computation and Simulation
- ISSN: 0094-9655
- Volume/Número/Paginação/Ano: v. 87, n. 10, p. 2002-2022, Abr. 2017
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
LACHOS, Víctor H. et al. Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach. Journal of Statistical Computation and Simulation, v. 87, n. 10, p. 2002-2022, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1306860. Acesso em: 19 abr. 2024. -
APA
Lachos, V. H., Dey, D. K., Cancho, V. G., & Louzada, F. (2017). Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach. Journal of Statistical Computation and Simulation, 87( 10), 2002-2022. doi:10.1080/00949655.2017.1306860 -
NLM
Lachos VH, Dey DK, Cancho VG, Louzada F. Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 10): 2002-2022.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1080/00949655.2017.1306860 -
Vancouver
Lachos VH, Dey DK, Cancho VG, Louzada F. Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 10): 2002-2022.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1080/00949655.2017.1306860 - The Poisson-exponential model for recurrent event data: an application to bowel motility data
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Informações sobre o DOI: 10.1080/00949655.2017.1306860 (Fonte: oaDOI API)
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