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Artigo de periodico
2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine (2021)
Ruggeri, Fabrizio ; Bolfarine, Henrique ; Bazán Guzmán, Jorge Luis ; Arellano-Valle, Reinaldo Boris ; Dávila, Víctor Hugo Lachos ; Castro, Mário de
Source: International Statistical Review. Unidades: ICMC, IME
Assunto: ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RUGGERI, Fabrizio et al. 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine. International Statistical Review, v. 89, n. 3, p. 435-446, 2021Tradução . . Disponível em: https://doi.org/10.1111/insr.12472. Acesso em: 06 out. 2024.
APA
Ruggeri, F., Bolfarine, H., Bazán Guzmán, J. L., Arellano-Valle, R. B., Dávila, V. H. L., & Castro, M. de. (2021). 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine. International Statistical Review, 89( 3), 435-446. doi:10.1111/insr.12472
NLM
Ruggeri F, Bolfarine H, Bazán Guzmán JL, Arellano-Valle RB, Dávila VHL, Castro M de. 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine [Internet]. International Statistical Review. 2021 ; 89( 3): 435-446.[citado 2024 out. 06 ] Available from: https://doi.org/10.1111/insr.12472
Vancouver
Ruggeri F, Bolfarine H, Bazán Guzmán JL, Arellano-Valle RB, Dávila VHL, Castro M de. 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine [Internet]. International Statistical Review. 2021 ; 89( 3): 435-446.[citado 2024 out. 06 ] Available from: https://doi.org/10.1111/insr.12472
Artigo de periodico
A bayesian multi-risks survival (MRS) model in the presence of double censorings (2020)
Castro, Mário de ; Chen, Ming-Hui; Zhang, Yuanye; D'Amico, Anthony Victor
Source: Biometrics. Unidade: ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, MÉTODOS MCMC, NEOPLASIAS PROSTÁTICAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTRO, Mário de et al. A bayesian multi-risks survival (MRS) model in the presence of double censorings. Biometrics, v. 76, n. 4, p. 1297-1309, 2020Tradução . . Disponível em: https://doi.org/10.1111/biom.13228. Acesso em: 06 out. 2024.
APA
Castro, M. de, Chen, M. -H., Zhang, Y., & D'Amico, A. V. (2020). A bayesian multi-risks survival (MRS) model in the presence of double censorings. Biometrics, 76( 4), 1297-1309. doi:10.1111/biom.13228
NLM
Castro M de, Chen M-H, Zhang Y, D'Amico AV. A bayesian multi-risks survival (MRS) model in the presence of double censorings [Internet]. Biometrics. 2020 ; 76( 4): 1297-1309.[citado 2024 out. 06 ] Available from: https://doi.org/10.1111/biom.13228
Vancouver
Castro M de, Chen M-H, Zhang Y, D'Amico AV. A bayesian multi-risks survival (MRS) model in the presence of double censorings [Internet]. Biometrics. 2020 ; 76( 4): 1297-1309.[citado 2024 out. 06 ] Available from: https://doi.org/10.1111/biom.13228
Artigo de periodico
Long-term survival models with latent activation under a flexible family of distributions (2013)
Cancho, Vicente Garibay ; Castro, Mário de ; Dey, Dipak K.
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay e CASTRO, Mário de e DEY, Dipak K. Long-term survival models with latent activation under a flexible family of distributions. Brazilian Journal of Probability and Statistics, v. 27, n. 4, p. 585-600, 2013Tradução . . Disponível em: https://doi.org/10.1214/12-bjps186. Acesso em: 06 out. 2024.
APA
Cancho, V. G., Castro, M. de, & Dey, D. K. (2013). Long-term survival models with latent activation under a flexible family of distributions. Brazilian Journal of Probability and Statistics, 27( 4), 585-600. doi:10.1214/12-bjps186
NLM
Cancho VG, Castro M de, Dey DK. Long-term survival models with latent activation under a flexible family of distributions [Internet]. Brazilian Journal of Probability and Statistics. 2013 ; 27( 4): 585-600.[citado 2024 out. 06 ] Available from: https://doi.org/10.1214/12-bjps186
Vancouver
Cancho VG, Castro M de, Dey DK. Long-term survival models with latent activation under a flexible family of distributions [Internet]. Brazilian Journal of Probability and Statistics. 2013 ; 27( 4): 585-600.[citado 2024 out. 06 ] Available from: https://doi.org/10.1214/12-bjps186

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