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Artigo de periodico
A discrete Weibull proportional odds survival model (2024)
Cardial, Marcílio Ramos Pereira ; Cobre, Juliana ; Nakano, Eduardo Yoshio
Source: Journal of Applied Statistics. Unidade: INTER: ICMC -UFSCAR
Subjects: ANÁLISE DE SOBREVIVÊNCIA, LEUCEMIA, INFERÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARDIAL, Marcílio Ramos Pereira e COBRE, Juliana e NAKANO, Eduardo Yoshio. A discrete Weibull proportional odds survival model. Journal of Applied Statistics, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2024.2373929. Acesso em: 18 ago. 2024.
APA
Cardial, M. R. P., Cobre, J., & Nakano, E. Y. (2024). A discrete Weibull proportional odds survival model. Journal of Applied Statistics. doi:10.1080/02664763.2024.2373929
NLM
Cardial MRP, Cobre J, Nakano EY. A discrete Weibull proportional odds survival model [Internet]. Journal of Applied Statistics. 2024 ;[citado 2024 ago. 18 ] Available from: https://doi.org/10.1080/02664763.2024.2373929
Vancouver
Cardial MRP, Cobre J, Nakano EY. A discrete Weibull proportional odds survival model [Internet]. Journal of Applied Statistics. 2024 ;[citado 2024 ago. 18 ] Available from: https://doi.org/10.1080/02664763.2024.2373929
Trabalho de evento-resumo
Why and how to measure the reliability of scientific co-authorship networks (2019)
Cobre, Juliana ; Oliveira, Sandra Cristina de
Source: Abstracts. Conference titles: Workshop on Probabilistic and Statistical Methods - WPSM. Unidade: ICMC
Assunto: INFERÊNCIA BAYESIANA E REDES DE CRENÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COBRE, Juliana e OLIVEIRA, Sandra Cristina de. Why and how to measure the reliability of scientific co-authorship networks. 2019, Anais.. São Carlos: ICMC/USP - DEs/UFSCar, 2019. Disponível em: http://wpsm.icmc.usp.br/7WPSM/2019_pipges_workshop_programa.pdf. Acesso em: 18 ago. 2024.
APA
Cobre, J., & Oliveira, S. C. de. (2019). Why and how to measure the reliability of scientific co-authorship networks. In Abstracts. São Carlos: ICMC/USP - DEs/UFSCar. Recuperado de http://wpsm.icmc.usp.br/7WPSM/2019_pipges_workshop_programa.pdf
NLM
Cobre J, Oliveira SC de. Why and how to measure the reliability of scientific co-authorship networks [Internet]. Abstracts. 2019 ;[citado 2024 ago. 18 ] Available from: http://wpsm.icmc.usp.br/7WPSM/2019_pipges_workshop_programa.pdf
Vancouver
Cobre J, Oliveira SC de. Why and how to measure the reliability of scientific co-authorship networks [Internet]. Abstracts. 2019 ;[citado 2024 ago. 18 ] Available from: http://wpsm.icmc.usp.br/7WPSM/2019_pipges_workshop_programa.pdf
Artigo de periodico
Modelling two types of heterogeneity in the analysis of student success (2019)
Cobre, Juliana ; Tortorelli, Fabiana Arca Cruz; Oliveira, Sandra Cristina de
Source: Journal of Applied Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: SUCESSO ESCOLAR, HETEROGENEIDADE, EVASÃO ESCOLAR, TOMADA DE DECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COBRE, Juliana e TORTORELLI, Fabiana Arca Cruz e OLIVEIRA, Sandra Cristina de. Modelling two types of heterogeneity in the analysis of student success. Journal of Applied Statistics, v. 46, n. 14, p. 2527-2539, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1601164. Acesso em: 18 ago. 2024.
APA
Cobre, J., Tortorelli, F. A. C., & Oliveira, S. C. de. (2019). Modelling two types of heterogeneity in the analysis of student success. Journal of Applied Statistics, 46( 14), 2527-2539. doi:10.1080/02664763.2019.1601164
NLM
Cobre J, Tortorelli FAC, Oliveira SC de. Modelling two types of heterogeneity in the analysis of student success [Internet]. Journal of Applied Statistics. 2019 ; 46( 14): 2527-2539.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1080/02664763.2019.1601164
Vancouver
Cobre J, Tortorelli FAC, Oliveira SC de. Modelling two types of heterogeneity in the analysis of student success [Internet]. Journal of Applied Statistics. 2019 ; 46( 14): 2527-2539.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1080/02664763.2019.1601164
Artigo de periodico
Factors that may lead on the non-renewal of certified organic product according to organic producers in Brazil (2017)
Scalco, Andréa Rossi; Oliveira, Sandra Cristina de; Pigatto, Giuliana Aparecida Santini; Cobre, Juliana
Source: Revista de Economia e Sociologia Rural. Unidade: ICMC
Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SCALCO, Andréa Rossi et al. Factors that may lead on the non-renewal of certified organic product according to organic producers in Brazil. Revista de Economia e Sociologia Rural, v. 55, n. 3, p. 465-478, 2017Tradução . . Disponível em: https://doi.org/10.1590/1234-56781806-94790550303. Acesso em: 18 ago. 2024.
APA
Scalco, A. R., Oliveira, S. C. de, Pigatto, G. A. S., & Cobre, J. (2017). Factors that may lead on the non-renewal of certified organic product according to organic producers in Brazil. Revista de Economia e Sociologia Rural, 55( 3), 465-478. doi:10.1590/1234-56781806-94790550303
NLM
Scalco AR, Oliveira SC de, Pigatto GAS, Cobre J. Factors that may lead on the non-renewal of certified organic product according to organic producers in Brazil [Internet]. Revista de Economia e Sociologia Rural. 2017 ; 55( 3): 465-478.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1590/1234-56781806-94790550303
Vancouver
Scalco AR, Oliveira SC de, Pigatto GAS, Cobre J. Factors that may lead on the non-renewal of certified organic product according to organic producers in Brazil [Internet]. Revista de Economia e Sociologia Rural. 2017 ; 55( 3): 465-478.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1590/1234-56781806-94790550303
Trabalho de evento-resumo
Bayesian inference for the reliability of scientific co-authorship networks with emphasis on edges or co-authorship relations (2017)
Oliveira, Sandra Cristina de; Cobre, Juliana ; Ferreira, Tatiane de Paula
Source: Abstracts. Conference titles: Workshop on Probabilistic and Statistical Methods - WPSM. Unidade: ICMC
Subjects: MÉTODOS MCMC, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Sandra Cristina de e COBRE, Juliana e FERREIRA, Tatiane de Paula. Bayesian inference for the reliability of scientific co-authorship networks with emphasis on edges or co-authorship relations. 2017, Anais.. São Carlos: ICMC/USP - DEs/UFSCar, 2017. Disponível em: http://wpsm.icmc.usp.br/5WPSM/Program_5WPSM.pdf. Acesso em: 18 ago. 2024.
APA
Oliveira, S. C. de, Cobre, J., & Ferreira, T. de P. (2017). Bayesian inference for the reliability of scientific co-authorship networks with emphasis on edges or co-authorship relations. In Abstracts. São Carlos: ICMC/USP - DEs/UFSCar. Recuperado de http://wpsm.icmc.usp.br/5WPSM/Program_5WPSM.pdf
NLM
Oliveira SC de, Cobre J, Ferreira T de P. Bayesian inference for the reliability of scientific co-authorship networks with emphasis on edges or co-authorship relations [Internet]. Abstracts. 2017 ;[citado 2024 ago. 18 ] Available from: http://wpsm.icmc.usp.br/5WPSM/Program_5WPSM.pdf
Vancouver
Oliveira SC de, Cobre J, Ferreira T de P. Bayesian inference for the reliability of scientific co-authorship networks with emphasis on edges or co-authorship relations [Internet]. Abstracts. 2017 ;[citado 2024 ago. 18 ] Available from: http://wpsm.icmc.usp.br/5WPSM/Program_5WPSM.pdf
Artigo de periodico
Semiparametric Bayesian estimation of quantile function for breast cancer survival data with cured fraction (2016)
Gupta, Cherry; Cobre, Juliana ; Campos, Adriano Polpo de; Sinha, Debjayoti
Source: Biometrical Journal. Unidade: ICMC
Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUPTA, Cherry et al. Semiparametric Bayesian estimation of quantile function for breast cancer survival data with cured fraction. Biometrical Journal, v. 58, n. 5, p. 1164-1177, 2016Tradução . . Disponível em: https://doi.org/10.1002/bimj.201500111. Acesso em: 18 ago. 2024.
APA
Gupta, C., Cobre, J., Campos, A. P. de, & Sinha, D. (2016). Semiparametric Bayesian estimation of quantile function for breast cancer survival data with cured fraction. Biometrical Journal, 58( 5), 1164-1177. doi:10.1002/bimj.201500111
NLM
Gupta C, Cobre J, Campos AP de, Sinha D. Semiparametric Bayesian estimation of quantile function for breast cancer survival data with cured fraction [Internet]. Biometrical Journal. 2016 ; 58( 5): 1164-1177.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1002/bimj.201500111
Vancouver
Gupta C, Cobre J, Campos AP de, Sinha D. Semiparametric Bayesian estimation of quantile function for breast cancer survival data with cured fraction [Internet]. Biometrical Journal. 2016 ; 58( 5): 1164-1177.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1002/bimj.201500111

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