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Filtros : "Journal of Data Science" "Bolfarine, Heleno" Removido: "INFERÊNCIA ESTATÍSTICA" Limpar

Filtros

Artigo de periodico
The log-exponentiated-weibull regression models with cure rate: local influence and residual analysis (2009)
Cancho, Vicente Garibay ; Ortega, Edwin Moisés Marcos ; Bolfarine, Heleno
Fonte: Journal of Data Science. Unidades: ICMC, ESALQ, IME
Assuntos: INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay e ORTEGA, Edwin Moisés Marcos e BOLFARINE, Heleno. The log-exponentiated-weibull regression models with cure rate: local influence and residual analysis. Journal of Data Science, v. 7, n. 4, p. 433-458, 2009Tradução . . Disponível em: https://jds-online.org/journal/JDS/article/973/info. Acesso em: 28 nov. 2025.
APA
Cancho, V. G., Ortega, E. M. M., & Bolfarine, H. (2009). The log-exponentiated-weibull regression models with cure rate: local influence and residual analysis. Journal of Data Science, 7( 4), 433-458. Recuperado de https://jds-online.org/journal/JDS/article/973/info
NLM
Cancho VG, Ortega EMM, Bolfarine H. The log-exponentiated-weibull regression models with cure rate: local influence and residual analysis [Internet]. Journal of Data Science. 2009 ; 7( 4): 433-458.[citado 2025 nov. 28 ] Available from: https://jds-online.org/journal/JDS/article/973/info
Vancouver
Cancho VG, Ortega EMM, Bolfarine H. The log-exponentiated-weibull regression models with cure rate: local influence and residual analysis [Internet]. Journal of Data Science. 2009 ; 7( 4): 433-458.[citado 2025 nov. 28 ] Available from: https://jds-online.org/journal/JDS/article/973/info
Artigo de periodico
Bayesian and Classical Solutions for Binomial Cytogenetic Dosimetry Problem (2003)
Branco, Marcia D'Elia ; Bolfarine, Heleno ; Zuazola, Pilar Loreto Iglesias; Arellano-Valle, Reinaldo Boris
Fonte: Journal of Data Science. Unidade: IME
Assunto: PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRANCO, Marcia D'Elia et al. Bayesian and Classical Solutions for Binomial Cytogenetic Dosimetry Problem. Journal of Data Science, v. 1, p. 65-82, 2003Tradução . . Disponível em: http://www.jds-online.com/file_download/7/JDS-112.pdf. Acesso em: 28 nov. 2025.
APA
Branco, M. D. 'E., Bolfarine, H., Zuazola, P. L. I., & Arellano-Valle, R. B. (2003). Bayesian and Classical Solutions for Binomial Cytogenetic Dosimetry Problem. Journal of Data Science, 1, 65-82. Recuperado de http://www.jds-online.com/file_download/7/JDS-112.pdf
NLM
Branco MD'E, Bolfarine H, Zuazola PLI, Arellano-Valle RB. Bayesian and Classical Solutions for Binomial Cytogenetic Dosimetry Problem [Internet]. Journal of Data Science. 2003 ; 1 65-82.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/file_download/7/JDS-112.pdf
Vancouver
Branco MD'E, Bolfarine H, Zuazola PLI, Arellano-Valle RB. Bayesian and Classical Solutions for Binomial Cytogenetic Dosimetry Problem [Internet]. Journal of Data Science. 2003 ; 1 65-82.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/file_download/7/JDS-112.pdf

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