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Artigo de periodico
Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors (2024)
Achcar, Jorge Alberto ; Barili, Emerson
Source: Statistical Methods and Applications. Unidade: FMRP
Subjects: DADOS CENSURADOS, INFERÊNCIA BAYESIANA, MÉTODOS MCMC, ANÁLISE DE SOBREVIVÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto e BARILI, Emerson. Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors. Statistical Methods and Applications, v. 33, p. 357-380, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10260-023-00734-w. Acesso em: 14 nov. 2024.
APA
Achcar, J. A., & Barili, E. (2024). Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors. Statistical Methods and Applications, 33, 357-380. doi:10.1007/s10260-023-00734-w
NLM
Achcar JA, Barili E. Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors [Internet]. Statistical Methods and Applications. 2024 ; 33 357-380.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s10260-023-00734-w
Vancouver
Achcar JA, Barili E. Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors [Internet]. Statistical Methods and Applications. 2024 ; 33 357-380.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s10260-023-00734-w
Artigo de periodico
A new flexible regression model with application to recovery probability Covid-19 patients (2024)
Prataviera, Fabio ; Hashimoto, Elisabeth Mie ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss Moutinho ; Cancho, Vicente Garibay ; Vila, Roberto
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: COVID-19, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRATAVIERA, Fabio et al. A new flexible regression model with application to recovery probability Covid-19 patients. Journal of Applied Statistics, v. 51, n. 5, p. 826-844, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2163229. Acesso em: 14 nov. 2024.
APA
Prataviera, F., Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Vila, R. (2024). A new flexible regression model with application to recovery probability Covid-19 patients. Journal of Applied Statistics, 51( 5), 826-844. doi:10.1080/02664763.2022.2163229
NLM
Prataviera F, Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Vila R. A new flexible regression model with application to recovery probability Covid-19 patients [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 826-844.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/02664763.2022.2163229
Vancouver
Prataviera F, Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Vila R. A new flexible regression model with application to recovery probability Covid-19 patients [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 826-844.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/02664763.2022.2163229
Artigo de periodico
Power-law distribution in pieces: a semi-parametric approach with change point detection (2024)
Ramos, Pedro Luiz ; Jerez-Lillo, Nixon; Segovia, Francisco; Egbon, Osafu Augustine ; Louzada, Francisco
Source: Statistics and Computing. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: VEROSSIMILHANÇA, DADOS CENSURADOS, ANÁLISE DE SOBREVIVÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMOS, Pedro Luiz et al. Power-law distribution in pieces: a semi-parametric approach with change point detection. Statistics and Computing, v. 34, p. 1-15, 2024Tradução . . Disponível em: https://doi.org/10.1007/s11222-023-10336-x. Acesso em: 14 nov. 2024.
APA
Ramos, P. L., Jerez-Lillo, N., Segovia, F., Egbon, O. A., & Louzada, F. (2024). Power-law distribution in pieces: a semi-parametric approach with change point detection. Statistics and Computing, 34, 1-15. doi:10.1007/s11222-023-10336-x
NLM
Ramos PL, Jerez-Lillo N, Segovia F, Egbon OA, Louzada F. Power-law distribution in pieces: a semi-parametric approach with change point detection [Internet]. Statistics and Computing. 2024 ; 34 1-15.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s11222-023-10336-x
Vancouver
Ramos PL, Jerez-Lillo N, Segovia F, Egbon OA, Louzada F. Power-law distribution in pieces: a semi-parametric approach with change point detection [Internet]. Statistics and Computing. 2024 ; 34 1-15.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s11222-023-10336-x
Artigo de periodico
Sampling with censored data: a practical guide (2024)
Ramos, Pedro Luiz; Guzman, Daniel Camilo Fuentes; Mota, Alex Leal; Saavedra, Daniel; Rodrigues, Francisco Aparecido; Louzada, Francisco
Source: Journal of Statistical Computation and Simulation. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: DADOS CENSURADOS, ANÁLISE DE SOBREVIVÊNCIA, SIMULAÇÃO, DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMOS, Pedro Luiz et al. Sampling with censored data: a practical guide. Journal of Statistical Computation and Simulation, 2024Tradução . . Disponível em: https://doi.org/10.1080/00949655.2024.2409379. Acesso em: 14 nov. 2024.
APA
Ramos, P. L., Guzman, D. C. F., Mota, A. L., Saavedra, D., Rodrigues, F. A., & Louzada, F. (2024). Sampling with censored data: a practical guide. Journal of Statistical Computation and Simulation. doi:0.1080/00949655.2024.2409379
NLM
Ramos PL, Guzman DCF, Mota AL, Saavedra D, Rodrigues FA, Louzada F. Sampling with censored data: a practical guide [Internet]. Journal of Statistical Computation and Simulation. 2024 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2024.2409379
Vancouver
Ramos PL, Guzman DCF, Mota AL, Saavedra D, Rodrigues FA, Louzada F. Sampling with censored data: a practical guide [Internet]. Journal of Statistical Computation and Simulation. 2024 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2024.2409379
Artigo de periodico
A new regression model under informative censoring mechanism with applications (2024)
Vigas, Valdemiro Piedade; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M; Silva, Giovani L ; Santos Junior, Paulo C. dos
Source: Communications in Statistics. Theory and Methods. Unidade: ESALQ
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS, REGRESSÃO LINEAR, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIGAS, Valdemiro Piedade et al. A new regression model under informative censoring mechanism with applications. Communications in Statistics. Theory and Methods, p. 1-6, 2024Tradução . . Disponível em: https://doi.org/10.1080/03610926.2024.2371487. Acesso em: 14 nov. 2024.
APA
Vigas, V. P., Ortega, E. M. M., Cordeiro, G. M., Silva, G. L., & Santos Junior, P. C. dos. (2024). A new regression model under informative censoring mechanism with applications. Communications in Statistics. Theory and Methods, 1-6. doi:10.1080/03610926.2024.2371487
NLM
Vigas VP, Ortega EMM, Cordeiro GM, Silva GL, Santos Junior PC dos. A new regression model under informative censoring mechanism with applications [Internet]. Communications in Statistics. Theory and Methods. 2024 ; 1-6.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/03610926.2024.2371487
Vancouver
Vigas VP, Ortega EMM, Cordeiro GM, Silva GL, Santos Junior PC dos. A new regression model under informative censoring mechanism with applications [Internet]. Communications in Statistics. Theory and Methods. 2024 ; 1-6.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/03610926.2024.2371487
Artigo de periodico
The generalized odd log-logistic-G regression with interval-censored survival data (2024)
Vigas, Valdemiro Piedade ; Ortega, Edwin Moises Marcos ; Suzuki, Adriano Kamimura ; Cordeiro, Gauss Moutinho ; Santos Junior, Paulo Cerqueira
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, INFERÊNCIA BAYESIANA, REGRESSÃO LOGÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIGAS, Valdemiro Piedade et al. The generalized odd log-logistic-G regression with interval-censored survival data. Journal of Applied Statistics, v. 51, n. 9, p. 2024, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2023.2230533. Acesso em: 14 nov. 2024.
APA
Vigas, V. P., Ortega, E. M. M., Suzuki, A. K., Cordeiro, G. M., & Santos Junior, P. C. (2024). The generalized odd log-logistic-G regression with interval-censored survival data. Journal of Applied Statistics, 51( 9), 2024. doi:10.1080/02664763.2023.2230533
NLM
Vigas VP, Ortega EMM, Suzuki AK, Cordeiro GM, Santos Junior PC. The generalized odd log-logistic-G regression with interval-censored survival data [Internet]. Journal of Applied Statistics. 2024 ; 51( 9): 2024.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/02664763.2023.2230533
Vancouver
Vigas VP, Ortega EMM, Suzuki AK, Cordeiro GM, Santos Junior PC. The generalized odd log-logistic-G regression with interval-censored survival data [Internet]. Journal of Applied Statistics. 2024 ; 51( 9): 2024.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/02664763.2023.2230533
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: 14 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. 14 ] 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. 14 ] 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: 14 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. 14 ] 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. 14 ] 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: 14 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. 14 ] 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. 14 ] 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: 14 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. 14 ] 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. 14 ] 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: 14 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. 14 ] 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. 14 ] Available from: https://doi.org/10.3233/MAS-221408
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: 14 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. 14 ] 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. 14 ] Available from: https://doi.org/10.1007/s40745-020-00298-6
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: 14 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. 14 ] 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. 14 ] Available from: https://doi.org/10.1080/02664763.2023.2235093
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
Source: Statistics, Optimization & Information Computing. Unidades: FMRP, ICMC
Subjects: 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: 14 nov. 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 nov. 14 ] 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 nov. 14 ] Available from: https://doi.org/10.19139/soic-2310-5070-1266
Artigo de periodico
Discrete bilal distribution in the presence of right-censored data and a cure fraction (2022)
Freitas, Bruno Caparroz Lopes de; Achcar, Jorge Alberto ; Peres, Marcos Vinicius de Oliveira; Martinez, Edson Zangiacomi
Source: Statistics, Optimization & Information Computing. Unidade: FMRP
Subjects: ANÁLISE DE SOBREVIVÊNCIA, VEROSSIMILHANÇA, CURA, INFERÊNCIA BAYESIANA, DISTRIBUIÇÃO DISCRETA, DADOS CENSURADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FREITAS, Bruno Caparroz Lopes de et al. Discrete bilal distribution in the presence of right-censored data and a cure fraction. Statistics, Optimization & Information Computing, v. 10, n. 4, p. 1168-1186, 2022Tradução . . Disponível em: https://doi.org/10.19139/soic-2310-5070-1414. Acesso em: 14 nov. 2024.
APA
Freitas, B. C. L. de, Achcar, J. A., Peres, M. V. de O., & Martinez, E. Z. (2022). Discrete bilal distribution in the presence of right-censored data and a cure fraction. Statistics, Optimization & Information Computing, 10( 4), 1168-1186. doi:10.19139/soic-2310-5070-1414
NLM
Freitas BCL de, Achcar JA, Peres MV de O, Martinez EZ. Discrete bilal distribution in the presence of right-censored data and a cure fraction [Internet]. Statistics, Optimization & Information Computing. 2022 ; 10( 4): 1168-1186.[citado 2024 nov. 14 ] Available from: https://doi.org/10.19139/soic-2310-5070-1414
Vancouver
Freitas BCL de, Achcar JA, Peres MV de O, Martinez EZ. Discrete bilal distribution in the presence of right-censored data and a cure fraction [Internet]. Statistics, Optimization & Information Computing. 2022 ; 10( 4): 1168-1186.[citado 2024 nov. 14 ] Available from: https://doi.org/10.19139/soic-2310-5070-1414
Artigo de periodico
Bayesian and maximum likelihood inference approaches for the discrete generalized Sibuya distribution with censored data (2022)
Freitas, Bruno Caparroz Lopes de; Peres, Marcos Vinicius de Oliveira; Achcar, Jorge Alberto ; Martinez, Edson Zangiacomi
Source: Electronic Journal Of Applied Statistical Analysis. Unidade: FMRP
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, VEROSSIMILHANÇA, 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. Bayesian and maximum likelihood inference approaches for the discrete generalized Sibuya distribution with censored data. Electronic Journal Of Applied Statistical Analysis, v. 15, n. 1, p. 50-74, 2022Tradução . . Disponível em: https://doi.org/10.1285/i20705948v15n1p50. Acesso em: 14 nov. 2024.
APA
Freitas, B. C. L. de, Peres, M. V. de O., Achcar, J. A., & Martinez, E. Z. (2022). Bayesian and maximum likelihood inference approaches for the discrete generalized Sibuya distribution with censored data. Electronic Journal Of Applied Statistical Analysis, 15( 1), 50-74. doi:10.1285/i20705948v15n1p50
NLM
Freitas BCL de, Peres MV de O, Achcar JA, Martinez EZ. Bayesian and maximum likelihood inference approaches for the discrete generalized Sibuya distribution with censored data [Internet]. Electronic Journal Of Applied Statistical Analysis. 2022 ; 15( 1): 50-74.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1285/i20705948v15n1p50
Vancouver
Freitas BCL de, Peres MV de O, Achcar JA, Martinez EZ. Bayesian and maximum likelihood inference approaches for the discrete generalized Sibuya distribution with censored data [Internet]. Electronic Journal Of Applied Statistical Analysis. 2022 ; 15( 1): 50-74.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1285/i20705948v15n1p50
Artigo de periodico
An extended Weibull Regression for Censored Data: application for COVID-19 in Campinas, Brazil (2022)
Rodrigues, Gabriela M ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M ; Vila, Roberto
Source: Mathematics. Unidade: ESALQ
Subjects: COVID-19, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, REGRESSÃO LOGÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Gabriela M et al. An extended Weibull Regression for Censored Data: application for COVID-19 in Campinas, Brazil. Mathematics, v. 10, p. 1-17, 2022Tradução . . Disponível em: https://doi.org/10.3390/math10193644. Acesso em: 14 nov. 2024.
APA
Rodrigues, G. M., Ortega, E. M. M., Cordeiro, G. M., & Vila, R. (2022). An extended Weibull Regression for Censored Data: application for COVID-19 in Campinas, Brazil. Mathematics, 10, 1-17. doi:10.3390/math10193644
NLM
Rodrigues GM, Ortega EMM, Cordeiro GM, Vila R. An extended Weibull Regression for Censored Data: application for COVID-19 in Campinas, Brazil [Internet]. Mathematics. 2022 ; 10 1-17.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3390/math10193644
Vancouver
Rodrigues GM, Ortega EMM, Cordeiro GM, Vila R. An extended Weibull Regression for Censored Data: application for COVID-19 in Campinas, Brazil [Internet]. Mathematics. 2022 ; 10 1-17.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3390/math10193644
Artigo de periodico
A weibull-beta prime distribution to model COVID-19 data with the presence of covariates and censored data (2022)
Biazatti, Elisângela Candeias ; Cordeiro, Gauss M ; Rodrigues, Gabriela Maria ; Ortega, Edwin Moises Marcos ; Santana, Luís Henrique de
Source: Stats. Unidade: ESALQ
Subjects: COVID-19, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIAZATTI, Elisângela Candeias et al. A weibull-beta prime distribution to model COVID-19 data with the presence of covariates and censored data. Stats, v. 5, p. 1159-1173, 2022Tradução . . Disponível em: https://doi.org/10.3390/stats5040069. Acesso em: 14 nov. 2024.
APA
Biazatti, E. C., Cordeiro, G. M., Rodrigues, G. M., Ortega, E. M. M., & Santana, L. H. de. (2022). A weibull-beta prime distribution to model COVID-19 data with the presence of covariates and censored data. Stats, 5, 1159-1173. doi:10.3390/stats5040069
NLM
Biazatti EC, Cordeiro GM, Rodrigues GM, Ortega EMM, Santana LH de. A weibull-beta prime distribution to model COVID-19 data with the presence of covariates and censored data [Internet]. Stats. 2022 ; 5 1159-1173.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3390/stats5040069
Vancouver
Biazatti EC, Cordeiro GM, Rodrigues GM, Ortega EMM, Santana LH de. A weibull-beta prime distribution to model COVID-19 data with the presence of covariates and censored data [Internet]. Stats. 2022 ; 5 1159-1173.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3390/stats5040069
Artigo de periodico
The Lehmann type II inverse Weibull distribution in the presence of censored data (2022)
Tomazella, Vera Lucia Damasceno ; Ramos, Pedro Luiz ; Ferreira, Paulo Henrique ; Mota, Alex Leal ; Louzada, Francisco
Source: Communications in Statistics: Simulation and Computation. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: DADOS CENSURADOS, VEROSSIMILHANÇA, REAMOSTRAGEM BOOTSTRAP
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOMAZELLA, Vera Lucia Damasceno et al. The Lehmann type II inverse Weibull distribution in the presence of censored data. Communications in Statistics: Simulation and Computation, v. 51, n. 12, p. 7057-7073, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1823000. Acesso em: 14 nov. 2024.
APA
Tomazella, V. L. D., Ramos, P. L., Ferreira, P. H., Mota, A. L., & Louzada, F. (2022). The Lehmann type II inverse Weibull distribution in the presence of censored data. Communications in Statistics: Simulation and Computation, 51( 12), 7057-7073. doi:10.1080/03610918.2020.1823000
NLM
Tomazella VLD, Ramos PL, Ferreira PH, Mota AL, Louzada F. The Lehmann type II inverse Weibull distribution in the presence of censored data [Internet]. Communications in Statistics: Simulation and Computation. 2022 ;51( 12): 7057-7073.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/03610918.2020.1823000
Vancouver
Tomazella VLD, Ramos PL, Ferreira PH, Mota AL, Louzada F. The Lehmann type II inverse Weibull distribution in the presence of censored data [Internet]. Communications in Statistics: Simulation and Computation. 2022 ;51( 12): 7057-7073.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/03610918.2020.1823000
Artigo de periodico
An application of the Poisson-Weibull model for censured data (2021)
Vigas, Valdemiro Piedade; Prataviera, Fábio ; Silva, Giovana Oliveira
Source: Revista Brasileira de Biometria. Unidade: ESALQ
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, DISTRIBUIÇÃO DE POISSON, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIGAS, Valdemiro Piedade e PRATAVIERA, Fábio e SILVA, Giovana Oliveira. An application of the Poisson-Weibull model for censured data. Revista Brasileira de Biometria, v. 39, n. 4, p. 505-521, 2021Tradução . . Disponível em: https://doi.org/10.28951/rbb.v39i4.534. Acesso em: 14 nov. 2024.
APA
Vigas, V. P., Prataviera, F., & Silva, G. O. (2021). An application of the Poisson-Weibull model for censured data. Revista Brasileira de Biometria, 39( 4), 505-521. doi:10.28951/rbb.v39i4.534
NLM
Vigas VP, Prataviera F, Silva GO. An application of the Poisson-Weibull model for censured data [Internet]. Revista Brasileira de Biometria. 2021 ; 39( 4): 505-521.[citado 2024 nov. 14 ] Available from: https://doi.org/10.28951/rbb.v39i4.534
Vancouver
Vigas VP, Prataviera F, Silva GO. An application of the Poisson-Weibull model for censured data [Internet]. Revista Brasileira de Biometria. 2021 ; 39( 4): 505-521.[citado 2024 nov. 14 ] Available from: https://doi.org/10.28951/rbb.v39i4.534

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