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Artigo de periodico
Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates (2022)
Martinez, Edson Zangiacomi ; Freitas, Bruno Caparroz Lopes de; Achcar, Jorge Alberto ; Aragon, Davi Casale; Peres, Marcos Vinícius de Oliveira
Fonte: Statistics, Optimization & Information Computing. Unidades: FMRP, ICMC
Assuntos: PROBABILIDADE, ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTINEZ, Edson Zangiacomi et al. Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates. Statistics, Optimization & Information Computing, v. 10, n. 2, p. 548-571, 2022Tradução . . Disponível em: https://doi.org/10.19139/soic-2310-5070-1266. Acesso em: 24 ago. 2024.
APA
Martinez, E. Z., Freitas, B. C. L. de, Achcar, J. A., Aragon, D. C., & Peres, M. V. de O. (2022). Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates. Statistics, Optimization & Information Computing, 10( 2), 548-571. doi:10.19139/soic-2310-5070-1266
NLM
Martinez EZ, Freitas BCL de, Achcar JA, Aragon DC, Peres MV de O. Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates [Internet]. Statistics, Optimization & Information Computing. 2022 ; 10( 2): 548-571.[citado 2024 ago. 24 ] Available from: https://doi.org/10.19139/soic-2310-5070-1266
Vancouver
Martinez EZ, Freitas BCL de, Achcar JA, Aragon DC, Peres MV de O. Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates [Internet]. Statistics, Optimization & Information Computing. 2022 ; 10( 2): 548-571.[citado 2024 ago. 24 ] Available from: https://doi.org/10.19139/soic-2310-5070-1266
Artigo de periodico
The bivariate defective Gompertz distribution based on Clayton copula with applications to Medical Data (2022)
Peres, Marcos Vinícius de Oliveira; Oliveira, Ricardo Puziol de; Achcar, Jorge Alberto ; Martinez, Edson Zangiacomi
Fonte: Austrian Journal of Statistics. Unidade: FMRP
Assuntos: CURA, ANÁLISE DE SOBREVIVÊNCIA, ESTUDOS RANDOMIZADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PERES, Marcos Vinícius de Oliveira et al. The bivariate defective Gompertz distribution based on Clayton copula with applications to Medical Data. Austrian Journal of Statistics, v. 51, n. 2, p. 144–168, 2022Tradução . . Disponível em: https://doi.org/10.17713/ajs.v51i2.1285. Acesso em: 24 ago. 2024.
APA
Peres, M. V. de O., Oliveira, R. P. de, Achcar, J. A., & Martinez, E. Z. (2022). The bivariate defective Gompertz distribution based on Clayton copula with applications to Medical Data. Austrian Journal of Statistics, 51( 2), 144–168. doi:10.17713/ajs.v51i2.1285
NLM
Peres MV de O, Oliveira RP de, Achcar JA, Martinez EZ. The bivariate defective Gompertz distribution based on Clayton copula with applications to Medical Data [Internet]. Austrian Journal of Statistics. 2022 ; 51( 2): 144–168.[citado 2024 ago. 24 ] Available from: https://doi.org/10.17713/ajs.v51i2.1285
Vancouver
Peres MV de O, Oliveira RP de, Achcar JA, Martinez EZ. The bivariate defective Gompertz distribution based on Clayton copula with applications to Medical Data [Internet]. Austrian Journal of Statistics. 2022 ; 51( 2): 144–168.[citado 2024 ago. 24 ] Available from: https://doi.org/10.17713/ajs.v51i2.1285
Artigo de periodico
A Bayesian inference approach for bivariate weibull distributions derived from roy and Morgenstern methods (2021)
Oliveira, Ricardo Puziol de; Peres, Marcos Vinícius de Oliveira; Santos, Milene Regina dos ; Martinez, Edson Zangiacomi ; Achcar, Jorge Alberto
Fonte: Statistics, Optimization & Information Computing. Unidades: FMRP, INTER: ICMC -UFSCAR
Assuntos: INFERÊNCIA BAYESIANA, TAXA DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Ricardo Puziol de et al. A Bayesian inference approach for bivariate weibull distributions derived from roy and Morgenstern methods. Statistics, Optimization & Information Computing, v. 9, n. 3, p. 529-554, 2021Tradução . . Disponível em: https://doi.org/10.19139/soic-2310-5070-1240. Acesso em: 24 ago. 2024.
APA
Oliveira, R. P. de, Peres, M. V. de O., Santos, M. R. dos, Martinez, E. Z., & Achcar, J. A. (2021). A Bayesian inference approach for bivariate weibull distributions derived from roy and Morgenstern methods. Statistics, Optimization & Information Computing, 9( 3), 529-554. doi:10.19139/soic-2310-5070-1240
NLM
Oliveira RP de, Peres MV de O, Santos MR dos, Martinez EZ, Achcar JA. A Bayesian inference approach for bivariate weibull distributions derived from roy and Morgenstern methods [Internet]. Statistics, Optimization & Information Computing. 2021 ; 9( 3): 529-554.[citado 2024 ago. 24 ] Available from: https://doi.org/10.19139/soic-2310-5070-1240
Vancouver
Oliveira RP de, Peres MV de O, Santos MR dos, Martinez EZ, Achcar JA. A Bayesian inference approach for bivariate weibull distributions derived from roy and Morgenstern methods [Internet]. Statistics, Optimization & Information Computing. 2021 ; 9( 3): 529-554.[citado 2024 ago. 24 ] Available from: https://doi.org/10.19139/soic-2310-5070-1240
Artigo de periodico
Classical and Bayesian inference approaches for the exponentiated discrete Weibull model with censored data and a cure fraction (2021)
Freitas, Bruno Caparroz Lopes de; Martinez, Edson Zangiacomi ; Achcar, Jorge Alberto ; Peres, Marcos Vinícius de Oliveira
Fonte: Pakistan Journal of Statistics and Operation Research. Unidade: FMRP
Assuntos: ANÁLISE DE SOBREVIVÊNCIA, VEROSSIMILHANÇA, DADOS CENSURADOS, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FREITAS, Bruno Caparroz Lopes de et al. Classical and Bayesian inference approaches for the exponentiated discrete Weibull model with censored data and a cure fraction. Pakistan Journal of Statistics and Operation Research, v. 17, n. 2, p. 467-481, 2021Tradução . . Disponível em: https://doi.org/10.18187/pjsor.v17i2.3693. Acesso em: 24 ago. 2024.
APA
Freitas, B. C. L. de, Martinez, E. Z., Achcar, J. A., & Peres, M. V. de O. (2021). Classical and Bayesian inference approaches for the exponentiated discrete Weibull model with censored data and a cure fraction. Pakistan Journal of Statistics and Operation Research, 17( 2), 467-481. doi:10.18187/pjsor.v17i2.3693
NLM
Freitas BCL de, Martinez EZ, Achcar JA, Peres MV de O. Classical and Bayesian inference approaches for the exponentiated discrete Weibull model with censored data and a cure fraction [Internet]. Pakistan Journal of Statistics and Operation Research. 2021 ; 17( 2): 467-481.[citado 2024 ago. 24 ] Available from: https://doi.org/10.18187/pjsor.v17i2.3693
Vancouver
Freitas BCL de, Martinez EZ, Achcar JA, Peres MV de O. Classical and Bayesian inference approaches for the exponentiated discrete Weibull model with censored data and a cure fraction [Internet]. Pakistan Journal of Statistics and Operation Research. 2021 ; 17( 2): 467-481.[citado 2024 ago. 24 ] Available from: https://doi.org/10.18187/pjsor.v17i2.3693
Artigo de periodico
Bivariate lifetime models in presence of cure fraction: a comparative study with many different copula functions (2020)
Peres, Marcos Vinícius de Oliveira ; Achcar, Jorge Alberto ; Martinez, Edson Zangiacomi
Fonte: Heliyon. Unidade: FMRP
Assuntos: MATEMÁTICA APLICADA, BIOCIÊNCIAS, MATEMÁTICA DA COMPUTAÇÃO, ANÁLISE DE SOBREVIVÊNCIA, INFERÊNCIA BAYESIANA, CADEIAS DE MARKOV
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PERES, Marcos Vinícius de Oliveira e ACHCAR, Jorge Alberto e MARTINEZ, Edson Zangiacomi. Bivariate lifetime models in presence of cure fraction: a comparative study with many different copula functions. Heliyon, v. 6, n. 6, p. e03961, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.heliyon.2020.e03961. Acesso em: 24 ago. 2024.
APA
Peres, M. V. de O., Achcar, J. A., & Martinez, E. Z. (2020). Bivariate lifetime models in presence of cure fraction: a comparative study with many different copula functions. Heliyon, 6( 6), e03961. doi:10.1016/j.heliyon.2020.e03961
NLM
Peres MV de O, Achcar JA, Martinez EZ. Bivariate lifetime models in presence of cure fraction: a comparative study with many different copula functions [Internet]. Heliyon. 2020 ; 6( 6): e03961.[citado 2024 ago. 24 ] Available from: https://doi.org/10.1016/j.heliyon.2020.e03961
Vancouver
Peres MV de O, Achcar JA, Martinez EZ. Bivariate lifetime models in presence of cure fraction: a comparative study with many different copula functions [Internet]. Heliyon. 2020 ; 6( 6): e03961.[citado 2024 ago. 24 ] Available from: https://doi.org/10.1016/j.heliyon.2020.e03961
Artigo de periodico
Use of a discrete Sushila distribution in the analysis of right-censored lifetime data (2019)
Oliveira, Ricardo Puziol de ; Peres, Marcos Vinícius de Oliveira ; Martinez, Edson Zangiacomi ; Achcar, Jorge Alberto
Fonte: Model Assisted Statistics and Applications. Unidade: FMRP
Assuntos: INFERÊNCIA BAYESIANA, SIMULAÇÃO (ESTATÍSTICA), MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Ricardo Puziol de et al. Use of a discrete Sushila distribution in the analysis of right-censored lifetime data. Model Assisted Statistics and Applications, v. 14, n. 3, p. 255-268, 2019Tradução . . Disponível em: https://doi.org/10.3233/mas-190465. Acesso em: 24 ago. 2024.
APA
Oliveira, R. P. de, Peres, M. V. de O., Martinez, E. Z., & Achcar, J. A. (2019). Use of a discrete Sushila distribution in the analysis of right-censored lifetime data. Model Assisted Statistics and Applications, 14( 3), 255-268. doi:10.3233/mas-190465
NLM
Oliveira RP de, Peres MV de O, Martinez EZ, Achcar JA. Use of a discrete Sushila distribution in the analysis of right-censored lifetime data [Internet]. Model Assisted Statistics and Applications. 2019 ; 14( 3): 255-268.[citado 2024 ago. 24 ] Available from: https://doi.org/10.3233/mas-190465
Vancouver
Oliveira RP de, Peres MV de O, Martinez EZ, Achcar JA. Use of a discrete Sushila distribution in the analysis of right-censored lifetime data [Internet]. Model Assisted Statistics and Applications. 2019 ; 14( 3): 255-268.[citado 2024 ago. 24 ] Available from: https://doi.org/10.3233/mas-190465
Artigo de periodico
Bivariate modified weibull distribution derived from Farlie-Gumbel-Morgenstern copula: a simulation study (2018)
Peres, Marcos Vinícius de Oliveira; Achcar, Jorge Alberto ; Martinez, Edson Zangiacomi
Fonte: Electronic Journal of Applied Statistical Analysis. Unidade: FMRP
Assuntos: ANÁLISE ESTATÍSTICA DE DADOS, ANÁLISE DE SOBREVIVÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PERES, Marcos Vinícius de Oliveira e ACHCAR, Jorge Alberto e MARTINEZ, Edson Zangiacomi. Bivariate modified weibull distribution derived from Farlie-Gumbel-Morgenstern copula: a simulation study. Electronic Journal of Applied Statistical Analysis, v. 11, n. 2, p. 463-488, 2018Tradução . . Disponível em: https://doi.org/10.1285/i20705948v11n2p463. Acesso em: 24 ago. 2024.
APA
Peres, M. V. de O., Achcar, J. A., & Martinez, E. Z. (2018). Bivariate modified weibull distribution derived from Farlie-Gumbel-Morgenstern copula: a simulation study. Electronic Journal of Applied Statistical Analysis, 11( 2), 463-488. doi:10.1285/i20705948v11n2p463
NLM
Peres MV de O, Achcar JA, Martinez EZ. Bivariate modified weibull distribution derived from Farlie-Gumbel-Morgenstern copula: a simulation study [Internet]. Electronic Journal of Applied Statistical Analysis. 2018 ; 11( 2): 463-488.[citado 2024 ago. 24 ] Available from: https://doi.org/10.1285/i20705948v11n2p463
Vancouver
Peres MV de O, Achcar JA, Martinez EZ. Bivariate modified weibull distribution derived from Farlie-Gumbel-Morgenstern copula: a simulation study [Internet]. Electronic Journal of Applied Statistical Analysis. 2018 ; 11( 2): 463-488.[citado 2024 ago. 24 ] Available from: https://doi.org/10.1285/i20705948v11n2p463

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