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Artigo de periodico
The odd extended log-logistic family: properties, regression, simulations and applications (2023)
Cordeiro, Gauss; Prataviera, Fábio ; Ortega, Edwin Moises Marcos ; Vila, Roberto; Nogueira, Erica Vieira
Source: Model Assisted Statistics and Applications. Unidade: ESALQ
Subjects: DADOS CENSURADOS, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORDEIRO, Gauss et al. The odd extended log-logistic family: properties, regression, simulations and applications. Model Assisted Statistics and Applications, v. 18, n. 1, p. 57-71, 2023Tradução . . Disponível em: https://doi.org/10.3233/MAS-221364. Acesso em: 01 nov. 2024.
APA
Cordeiro, G., Prataviera, F., Ortega, E. M. M., Vila, R., & Nogueira, E. V. (2023). The odd extended log-logistic family: properties, regression, simulations and applications. Model Assisted Statistics and Applications, 18( 1), 57-71. doi:10.3233/MAS-221364
NLM
Cordeiro G, Prataviera F, Ortega EMM, Vila R, Nogueira EV. The odd extended log-logistic family: properties, regression, simulations and applications [Internet]. Model Assisted Statistics and Applications. 2023 ; 18( 1): 57-71.[citado 2024 nov. 01 ] Available from: https://doi.org/10.3233/MAS-221364
Vancouver
Cordeiro G, Prataviera F, Ortega EMM, Vila R, Nogueira EV. The odd extended log-logistic family: properties, regression, simulations and applications [Internet]. Model Assisted Statistics and Applications. 2023 ; 18( 1): 57-71.[citado 2024 nov. 01 ] Available from: https://doi.org/10.3233/MAS-221364
Artigo de periodico
Interval-censored regression with non-proportional hazards with applications (2023)
Prataviera, Fábio ; Hashimoto, Elizabeth Mie ; Ortega, Edwin Moises Marcos ; Savian, Taciana Villela ; Cordeiro, Gauss M
Source: Stats. Unidade: ESALQ
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, MODELOS MATEMÁTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRATAVIERA, Fábio et al. Interval-censored regression with non-proportional hazards with applications. Stats, v. 6, p. 643–656, 2023Tradução . . Disponível em: https://doi.org/10.3390/stats6020041. Acesso em: 01 nov. 2024.
APA
Prataviera, F., Hashimoto, E. M., Ortega, E. M. M., Savian, T. V., & Cordeiro, G. M. (2023). Interval-censored regression with non-proportional hazards with applications. Stats, 6, 643–656. doi:10.3390/stats6020041
NLM
Prataviera F, Hashimoto EM, Ortega EMM, Savian TV, Cordeiro GM. Interval-censored regression with non-proportional hazards with applications [Internet]. Stats. 2023 ; 6 643–656.[citado 2024 nov. 01 ] Available from: https://doi.org/10.3390/stats6020041
Vancouver
Prataviera F, Hashimoto EM, Ortega EMM, Savian TV, Cordeiro GM. Interval-censored regression with non-proportional hazards with applications [Internet]. Stats. 2023 ; 6 643–656.[citado 2024 nov. 01 ] Available from: https://doi.org/10.3390/stats6020041
Artigo de periodico
The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil (2023)
Hashimoto, Elisabeth Mie ; Ortega, Edwin Moiséis Marcos ; Cordeiro, Gauss Moutinho ; Cancho, Vicente Garibay ; Silva, I
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, COVID-19, DADOS CENSURADOS, MODELOS MATEMÁTICOS, SISTEMA ÚNICO DE SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HASHIMOTO, Elisabeth Mie et al. The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil. Journal of Applied Statistics, v. 50, n. 8, p. 1665-1685, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2036707. Acesso em: 01 nov. 2024.
APA
Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Silva, I. (2023). The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil. Journal of Applied Statistics, 50( 8), 1665-1685. doi:10.1080/02664763.2022.2036707
NLM
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Silva I. The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil [Internet]. Journal of Applied Statistics. 2023 ; 50( 8): 1665-1685.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/02664763.2022.2036707
Vancouver
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Silva I. The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil [Internet]. Journal of Applied Statistics. 2023 ; 50( 8): 1665-1685.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/02664763.2022.2036707
Artigo de periodico
Inference methods for the Very Flexible Weibull distribution based on progressive type-II censoring (2023)
Brito, Eder Silva de ; Ferreira, Paulo Henrique ; Tomazella, Vera Lucia Damasceno ; Martins Neto, Daniele S. B; Ehlers, Ricardo Sandes
Source: Communications in Statistics : Simulation and Computation. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: INFERÊNCIA BAYESIANA, VEROSSIMILHANÇA, DADOS CENSURADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRITO, Eder Silva de et al. Inference methods for the Very Flexible Weibull distribution based on progressive type-II censoring. Communications in Statistics : Simulation and Computation, 2023Tradução . . Disponível em: https://doi.org/10.1080/03610918.2023.2180646. Acesso em: 01 nov. 2024.
APA
Brito, E. S. de, Ferreira, P. H., Tomazella, V. L. D., Martins Neto, D. S. B., & Ehlers, R. S. (2023). Inference methods for the Very Flexible Weibull distribution based on progressive type-II censoring. Communications in Statistics : Simulation and Computation. doi:10.1080/03610918.2023.2180646
NLM
Brito ES de, Ferreira PH, Tomazella VLD, Martins Neto DSB, Ehlers RS. Inference methods for the Very Flexible Weibull distribution based on progressive type-II censoring [Internet]. Communications in Statistics : Simulation and Computation. 2023 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610918.2023.2180646
Vancouver
Brito ES de, Ferreira PH, Tomazella VLD, Martins Neto DSB, Ehlers RS. Inference methods for the Very Flexible Weibull distribution based on progressive type-II censoring [Internet]. Communications in Statistics : Simulation and Computation. 2023 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610918.2023.2180646
Artigo de periodico
Semiparametric transformation model: a hierarchical Bayesian approach (2023)
Achcar, Jorge Alberto; Barili, Emerson; Martinez, Edson Zangiacomi
Source: Model Assisted Statistics and Applications. Unidade: FMRP
Subjects: DADOS CENSURADOS, INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto e BARILI, Emerson e MARTINEZ, Edson Zangiacomi. Semiparametric transformation model: a hierarchical Bayesian approach. Model Assisted Statistics and Applications, v. 18, p. 245-256, 2023Tradução . . Disponível em: https://doi.org/10.3233/MAS-221408. Acesso em: 01 nov. 2024.
APA
Achcar, J. A., Barili, E., & Martinez, E. Z. (2023). Semiparametric transformation model: a hierarchical Bayesian approach. Model Assisted Statistics and Applications, 18, 245-256. doi:10.3233/MAS-221408
NLM
Achcar JA, Barili E, Martinez EZ. Semiparametric transformation model: a hierarchical Bayesian approach [Internet]. Model Assisted Statistics and Applications. 2023 ; 18 245-256.[citado 2024 nov. 01 ] Available from: https://doi.org/10.3233/MAS-221408
Vancouver
Achcar JA, Barili E, Martinez EZ. Semiparametric transformation model: a hierarchical Bayesian approach [Internet]. Model Assisted Statistics and Applications. 2023 ; 18 245-256.[citado 2024 nov. 01 ] Available from: https://doi.org/10.3233/MAS-221408
Artigo de periodico
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme (2023)
Peralta, Danielle; Oliveira, Ricardo Puziol de; Achcar, Jorge Alberto
Source: Journal of Applied Statistics. Unidade: FMRP
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, DADOS CENSURADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PERALTA, Danielle e OLIVEIRA, Ricardo Puziol de e ACHCAR, Jorge Alberto. A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme. Journal of Applied Statistics, v. 51, n. 9, p. 1772-1791, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2023.2235093. Acesso em: 01 nov. 2024.
APA
Peralta, D., Oliveira, R. P. de, & Achcar, J. A. (2023). A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme. Journal of Applied Statistics, 51( 9), 1772-1791. doi:10.1080/02664763.2023.2235093
NLM
Peralta D, Oliveira RP de, Achcar JA. A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme [Internet]. Journal of Applied Statistics. 2023 ; 51( 9): 1772-1791.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/02664763.2023.2235093
Vancouver
Peralta D, Oliveira RP de, Achcar JA. A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme [Internet]. Journal of Applied Statistics. 2023 ; 51( 9): 1772-1791.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/02664763.2023.2235093
Artigo de periodico
Unit modified Burr-III distribution: estimation, characterizations and validation test (2023)
Haq, Muhammad Ahsan ul ; Hashmi, Sharqa ; Aidi, Khaoula; Ramos, Pedro Luiz ; Louzada, Francisco
Source: Annals of Data Science. Unidade: ICMC
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), DADOS CENSURADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HAQ, Muhammad Ahsan ul et al. Unit modified Burr-III distribution: estimation, characterizations and validation test. Annals of Data Science, v. 10, n. 2, p. 415-440, 2023Tradução . . Disponível em: https://doi.org/10.1007/s40745-020-00298-6. Acesso em: 01 nov. 2024.
APA
Haq, M. A. ul, Hashmi, S., Aidi, K., Ramos, P. L., & Louzada, F. (2023). Unit modified Burr-III distribution: estimation, characterizations and validation test. Annals of Data Science, 10( 2), 415-440. doi:10.1007/s40745-020-00298-6
NLM
Haq MA ul, Hashmi S, Aidi K, Ramos PL, Louzada F. Unit modified Burr-III distribution: estimation, characterizations and validation test [Internet]. Annals of Data Science. 2023 ; 10( 2): 415-440.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s40745-020-00298-6
Vancouver
Haq MA ul, Hashmi S, Aidi K, Ramos PL, Louzada F. Unit modified Burr-III distribution: estimation, characterizations and validation test [Internet]. Annals of Data Science. 2023 ; 10( 2): 415-440.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s40745-020-00298-6

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