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Artigo de periodico
A bayesian destructive generalized Waring regression cure model with a variance decomposition and application in colorectal cancer data (2024)
Rodrigues, Josemar ; Cancho, Vicente Garibay ; Balakrishnan, Narayanaswamy ; Suzuki, Adriano Kamimura
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, SISTEMA IMUNE, NEOPLASIAS COLORRETAIS, FATORES DE RISCO
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ABNT
RODRIGUES, Josemar et al. A bayesian destructive generalized Waring regression cure model with a variance decomposition and application in colorectal cancer data. Journal of Statistical Computation and Simulation, v. 94, n. 14, p. 3111-3130, 2024Tradução . . Disponível em: https://doi.org/10.1080/00949655.2024.2368887. Acesso em: 28 out. 2024.
APA
Rodrigues, J., Cancho, V. G., Balakrishnan, N., & Suzuki, A. K. (2024). A bayesian destructive generalized Waring regression cure model with a variance decomposition and application in colorectal cancer data. Journal of Statistical Computation and Simulation, 94( 14), 3111-3130. doi:10.1080/00949655.2024.2368887
NLM
Rodrigues J, Cancho VG, Balakrishnan N, Suzuki AK. A bayesian destructive generalized Waring regression cure model with a variance decomposition and application in colorectal cancer data [Internet]. Journal of Statistical Computation and Simulation. 2024 ; 94( 14): 3111-3130.[citado 2024 out. 28 ] Available from: https://doi.org/10.1080/00949655.2024.2368887
Vancouver
Rodrigues J, Cancho VG, Balakrishnan N, Suzuki AK. A bayesian destructive generalized Waring regression cure model with a variance decomposition and application in colorectal cancer data [Internet]. Journal of Statistical Computation and Simulation. 2024 ; 94( 14): 3111-3130.[citado 2024 out. 28 ] Available from: https://doi.org/10.1080/00949655.2024.2368887
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)
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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: 28 out. 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 out. 28 ] 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 out. 28 ] Available from: https://doi.org/10.1080/02664763.2022.2163229
Artigo de periodico
A frailty model for semi-competing risk data with applications to colon cancer (2024)
Bedia, Elizbeth Chipa ; Cancho, Vicente Garibay ; Bandyopadhyay, Dipankar
Source: Journal of the Indian Society for Probability and Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: ANÁLISE DE SOBREVIVÊNCIA, NEOPLASIAS, VEROSSIMILHANÇA, PROCESSOS DE MARKOV
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ABNT
BEDIA, Elizbeth Chipa e CANCHO, Vicente Garibay e BANDYOPADHYAY, Dipankar. A frailty model for semi-competing risk data with applications to colon cancer. Journal of the Indian Society for Probability and Statistics, v. 25, p. 395-416, 2024Tradução . . Disponível em: https://doi.org/10.1007/s41096-024-00186-9. Acesso em: 28 out. 2024.
APA
Bedia, E. C., Cancho, V. G., & Bandyopadhyay, D. (2024). A frailty model for semi-competing risk data with applications to colon cancer. Journal of the Indian Society for Probability and Statistics, 25, 395-416. doi:10.1007/s41096-024-00186-9
NLM
Bedia EC, Cancho VG, Bandyopadhyay D. A frailty model for semi-competing risk data with applications to colon cancer [Internet]. Journal of the Indian Society for Probability and Statistics. 2024 ; 25 395-416.[citado 2024 out. 28 ] Available from: https://doi.org/10.1007/s41096-024-00186-9
Vancouver
Bedia EC, Cancho VG, Bandyopadhyay D. A frailty model for semi-competing risk data with applications to colon cancer [Internet]. Journal of the Indian Society for Probability and Statistics. 2024 ; 25 395-416.[citado 2024 out. 28 ] Available from: https://doi.org/10.1007/s41096-024-00186-9
Artigo de periodico
A bayesian cure rate regression model using Hamiltonian Monte Carlo methods (2024)
Cancho, Vicente Garibay ; Sacramento, Michele Maciel; Ortega, Edwin Moises Marcos ; Moraes, Talita E. N. T; Cordeiro, Gauss Moutinho
Source: Communications in Statistics - Simulation and Computation. Unidades: ICMC, ESALQ, INTER: ICMC -UFSCAR
Subjects: INFERÊNCIA BAYESIANA, PROCESSOS DE POISSON, ANÁLISE DE SOBREVIVÊNCIA
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ABNT
CANCHO, Vicente Garibay et al. A bayesian cure rate regression model using Hamiltonian Monte Carlo methods. Communications in Statistics - Simulation and Computation, 2024Tradução . . Disponível em: https://doi.org/10.1080/03610918.2024.2370985. Acesso em: 28 out. 2024.
APA
Cancho, V. G., Sacramento, M. M., Ortega, E. M. M., Moraes, T. E. N. T., & Cordeiro, G. M. (2024). A bayesian cure rate regression model using Hamiltonian Monte Carlo methods. Communications in Statistics - Simulation and Computation. doi:10.1080/03610918.2024.2370985
NLM
Cancho VG, Sacramento MM, Ortega EMM, Moraes TENT, Cordeiro GM. A bayesian cure rate regression model using Hamiltonian Monte Carlo methods [Internet]. Communications in Statistics - Simulation and Computation. 2024 ;[citado 2024 out. 28 ] Available from: https://doi.org/10.1080/03610918.2024.2370985
Vancouver
Cancho VG, Sacramento MM, Ortega EMM, Moraes TENT, Cordeiro GM. A bayesian cure rate regression model using Hamiltonian Monte Carlo methods [Internet]. Communications in Statistics - Simulation and Computation. 2024 ;[citado 2024 out. 28 ] Available from: https://doi.org/10.1080/03610918.2024.2370985
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
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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: 28 out. 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 out. 28 ] 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 out. 28 ] Available from: https://doi.org/10.1080/02664763.2022.2036707
Artigo de periodico
Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals (2023)
Rodrigues, Josemar ; Benites, Yuri Rojas; Cancho, Vicente Garibay ; Balakrishnan, Narayanaswamy ; Suzuki, Adriano Kamimura
Source: Communications in Statistics - Theory and Methods. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: DISTRIBUIÇÃO ELÍPTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA BAYESIANA
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ABNT
RODRIGUES, Josemar et al. Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals. Communications in Statistics - Theory and Methods, v. 52, n. 3, p. 918-938, 2023Tradução . . Disponível em: https://doi.org/10.1080/03610926.2021.1933531. Acesso em: 28 out. 2024.
APA
Rodrigues, J., Benites, Y. R., Cancho, V. G., Balakrishnan, N., & Suzuki, A. K. (2023). Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals. Communications in Statistics - Theory and Methods, 52( 3), 918-938. doi:10.1080/03610926.2021.1933531
NLM
Rodrigues J, Benites YR, Cancho VG, Balakrishnan N, Suzuki AK. Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals [Internet]. Communications in Statistics - Theory and Methods. 2023 ; 52( 3): 918-938.[citado 2024 out. 28 ] Available from: https://doi.org/10.1080/03610926.2021.1933531
Vancouver
Rodrigues J, Benites YR, Cancho VG, Balakrishnan N, Suzuki AK. Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals [Internet]. Communications in Statistics - Theory and Methods. 2023 ; 52( 3): 918-938.[citado 2024 out. 28 ] Available from: https://doi.org/10.1080/03610926.2021.1933531
Artigo de periodico
A survival regression with cure fraction applied to cervical cancer (2023)
Cancho, Vicente Garibay ; Bedia, Elizbeth Chipa ; Cordeiro, Gauss Moutinho ; Prataviera, Fábio ; Ortega, Edwin Moises Marcos ; Santo, Ana Paula Jorge do Espírito
Source: Computational Statistics. Unidades: ICMC, ESALQ, INTER: ICMC -UFSCAR
Subjects: ALGORITMOS, ANÁLISE DE SOBREVIVÊNCIA, CURA, DISTRIBUIÇÃO DE POISSON, MODELOS MATEMÁTICOS, NEOPLASIAS DO COLO UTERINO, VEROSSIMILHANÇA
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ABNT
CANCHO, Vicente Garibay et al. A survival regression with cure fraction applied to cervical cancer. Computational Statistics, v. 38, p. 403-418, 2023Tradução . . Disponível em: https://doi.org/10.1007/s00180-022-01233-4. Acesso em: 28 out. 2024.
APA
Cancho, V. G., Bedia, E. C., Cordeiro, G. M., Prataviera, F., Ortega, E. M. M., & Santo, A. P. J. do E. (2023). A survival regression with cure fraction applied to cervical cancer. Computational Statistics, 38, 403-418. doi:10.1007/s00180-022-01233-4
NLM
Cancho VG, Bedia EC, Cordeiro GM, Prataviera F, Ortega EMM, Santo APJ do E. A survival regression with cure fraction applied to cervical cancer [Internet]. Computational Statistics. 2023 ; 38 403-418.[citado 2024 out. 28 ] Available from: https://doi.org/10.1007/s00180-022-01233-4
Vancouver
Cancho VG, Bedia EC, Cordeiro GM, Prataviera F, Ortega EMM, Santo APJ do E. A survival regression with cure fraction applied to cervical cancer [Internet]. Computational Statistics. 2023 ; 38 403-418.[citado 2024 out. 28 ] Available from: https://doi.org/10.1007/s00180-022-01233-4
Trabalho de evento-resumo
Modelos de sobrevivência induzidos por fragilidade usando métodos hamiltonianos de Monte Carlo (2023)
Sacramento, Michele Maciel; Cancho, Vicente Garibay
Source: Livro de Resumos. Conference titles: Reunião Anual da Região Brasileira da Sociedade Internacional de Biometria - RBras. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE SOBREVIVÊNCIA
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ABNT
SACRAMENTO, Michele Maciel e CANCHO, Vicente Garibay. Modelos de sobrevivência induzidos por fragilidade usando métodos hamiltonianos de Monte Carlo. 2023, Anais.. Londrina: Universidade Estadual de Londrina, 2023. Disponível em: https://lookerstudio.google.com/reporting/f9228c96-529e-44e6-8f85-373fc3e2539a/page/BYq4C. Acesso em: 28 out. 2024.
APA
Sacramento, M. M., & Cancho, V. G. (2023). Modelos de sobrevivência induzidos por fragilidade usando métodos hamiltonianos de Monte Carlo. In Livro de Resumos. Londrina: Universidade Estadual de Londrina. Recuperado de https://lookerstudio.google.com/reporting/f9228c96-529e-44e6-8f85-373fc3e2539a/page/BYq4C
NLM
Sacramento MM, Cancho VG. Modelos de sobrevivência induzidos por fragilidade usando métodos hamiltonianos de Monte Carlo [Internet]. Livro de Resumos. 2023 ;[citado 2024 out. 28 ] Available from: https://lookerstudio.google.com/reporting/f9228c96-529e-44e6-8f85-373fc3e2539a/page/BYq4C
Vancouver
Sacramento MM, Cancho VG. Modelos de sobrevivência induzidos por fragilidade usando métodos hamiltonianos de Monte Carlo [Internet]. Livro de Resumos. 2023 ;[citado 2024 out. 28 ] Available from: https://lookerstudio.google.com/reporting/f9228c96-529e-44e6-8f85-373fc3e2539a/page/BYq4C
Artigo de periodico
An extension of the partially linear Rice regression model for bimodal and correlated data (2023)
Vasconcelos, Julio Cezar Souza ; Ortega, Edwin Moises Marcos ; Vila, Roberto; Cancho, Vicente Garibay
Source: Brazilian Journal of Probability and Statistics. Unidades: ESALQ, ICMC
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA
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ABNT
VASCONCELOS, Julio Cezar Souza et al. An extension of the partially linear Rice regression model for bimodal and correlated data. Brazilian Journal of Probability and Statistics, v. 37, n. 1, p. 177-194, 2023Tradução . . Disponível em: https://doi.org/10.1214/23-BJPS566. Acesso em: 28 out. 2024.
APA
Vasconcelos, J. C. S., Ortega, E. M. M., Vila, R., & Cancho, V. G. (2023). An extension of the partially linear Rice regression model for bimodal and correlated data. Brazilian Journal of Probability and Statistics, 37( 1), 177-194. doi:10.1214/23-BJPS566
NLM
Vasconcelos JCS, Ortega EMM, Vila R, Cancho VG. An extension of the partially linear Rice regression model for bimodal and correlated data [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 177-194.[citado 2024 out. 28 ] Available from: https://doi.org/10.1214/23-BJPS566
Vancouver
Vasconcelos JCS, Ortega EMM, Vila R, Cancho VG. An extension of the partially linear Rice regression model for bimodal and correlated data [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 177-194.[citado 2024 out. 28 ] Available from: https://doi.org/10.1214/23-BJPS566
Artigo de periodico
A new regression model on the unit interval: properties, estimation, and application (2022)
Benites, Yuri Rojas; Cancho, Vicente Garibay ; Ortega, Edwin Moises Marcos ; Vila, Roberto ; Cordeiro, Gauss Moutinho
Source: Mathematics. Unidades: ICMC, ESALQ, INTER: ICMC -UFSCAR
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, MODELOS MATEMÁTICOS
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ABNT
BENITES, Yuri Rojas et al. A new regression model on the unit interval: properties, estimation, and application. Mathematics, v. 10, n. 17, p. 1-17, 2022Tradução . . Disponível em: https://doi.org/10.3390/math10173198. Acesso em: 28 out. 2024.
APA
Benites, Y. R., Cancho, V. G., Ortega, E. M. M., Vila, R., & Cordeiro, G. M. (2022). A new regression model on the unit interval: properties, estimation, and application. Mathematics, 10( 17), 1-17. doi:10.3390/math10173198
NLM
Benites YR, Cancho VG, Ortega EMM, Vila R, Cordeiro GM. A new regression model on the unit interval: properties, estimation, and application [Internet]. Mathematics. 2022 ; 10( 17): 1-17.[citado 2024 out. 28 ] Available from: https://doi.org/10.3390/math10173198
Vancouver
Benites YR, Cancho VG, Ortega EMM, Vila R, Cordeiro GM. A new regression model on the unit interval: properties, estimation, and application [Internet]. Mathematics. 2022 ; 10( 17): 1-17.[citado 2024 out. 28 ] Available from: https://doi.org/10.3390/math10173198
Artigo de periodico
A new regression model for rates and proportions data with applications (2022)
Prataviera, Fabio ; Cordeiro, Gauss Moutinho ; Ortega, Edwin Moises Marcos ; Hashimoto, Elisabeth Mie ; Cancho, Vicente Garibay
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA
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ABNT
PRATAVIERA, Fabio et al. A new regression model for rates and proportions data with applications. Journal of Applied Statistics, v. 49, n. 2, p. 4137-4161, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1973385. Acesso em: 28 out. 2024.
APA
Prataviera, F., Cordeiro, G. M., Ortega, E. M. M., Hashimoto, E. M., & Cancho, V. G. (2022). A new regression model for rates and proportions data with applications. Journal of Applied Statistics, 49( 2), 4137-4161. doi:10.1080/02664763.2021.1973385
NLM
Prataviera F, Cordeiro GM, Ortega EMM, Hashimoto EM, Cancho VG. A new regression model for rates and proportions data with applications [Internet]. Journal of Applied Statistics. 2022 ; 49( 2): 4137-4161.[citado 2024 out. 28 ] Available from: https://doi.org/10.1080/02664763.2021.1973385
Vancouver
Prataviera F, Cordeiro GM, Ortega EMM, Hashimoto EM, Cancho VG. A new regression model for rates and proportions data with applications [Internet]. Journal of Applied Statistics. 2022 ; 49( 2): 4137-4161.[citado 2024 out. 28 ] Available from: https://doi.org/10.1080/02664763.2021.1973385
Artigo de periodico
A multivariate survival model induced by discrete frailty (2022)
Cancho, Vicente Garibay ; Suzuki, Adriano Kamimura ; Barriga, Gladys Dorotea Cacsire ; Santo, Ana Paula Jorge do Espírito
Source: Communications in Statistics - Simulation and Computation. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay et al. A multivariate survival model induced by discrete frailty. Communications in Statistics - Simulation and Computation, v. 51, n. 11, p. 6572-6590, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1806323. Acesso em: 28 out. 2024.
APA
Cancho, V. G., Suzuki, A. K., Barriga, G. D. C., & Santo, A. P. J. do E. (2022). A multivariate survival model induced by discrete frailty. Communications in Statistics - Simulation and Computation, 51( 11), 6572-6590. doi:10.1080/03610918.2020.1806323
NLM
Cancho VG, Suzuki AK, Barriga GDC, Santo APJ do E. A multivariate survival model induced by discrete frailty [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 11): 6572-6590.[citado 2024 out. 28 ] Available from: https://doi.org/10.1080/03610918.2020.1806323
Vancouver
Cancho VG, Suzuki AK, Barriga GDC, Santo APJ do E. A multivariate survival model induced by discrete frailty [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 11): 6572-6590.[citado 2024 out. 28 ] Available from: https://doi.org/10.1080/03610918.2020.1806323
Artigo de periodico
Reparameterized extended Maxwell regression: properties, estimation and application (2022)
Prataviera, Fabio ; Vila, Roberto; Cancho, Vicente Garibay ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M
Source: Communications in Statistics - Theory and Methods. Unidades: ICMC, ESALQ
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA
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ABNT
PRATAVIERA, Fabio et al. Reparameterized extended Maxwell regression: properties, estimation and application. Communications in Statistics - Theory and Methods, p. 1-20, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610926.2022.2042561. Acesso em: 28 out. 2024.
APA
Prataviera, F., Vila, R., Cancho, V. G., Ortega, E. M. M., & Cordeiro, G. M. (2022). Reparameterized extended Maxwell regression: properties, estimation and application. Communications in Statistics - Theory and Methods, 1-20. doi:10.1080/03610926.2022.2042561
NLM
Prataviera F, Vila R, Cancho VG, Ortega EMM, Cordeiro GM. Reparameterized extended Maxwell regression: properties, estimation and application [Internet]. Communications in Statistics - Theory and Methods. 2022 ; 1-20.[citado 2024 out. 28 ] Available from: https://doi.org/10.1080/03610926.2022.2042561
Vancouver
Prataviera F, Vila R, Cancho VG, Ortega EMM, Cordeiro GM. Reparameterized extended Maxwell regression: properties, estimation and application [Internet]. Communications in Statistics - Theory and Methods. 2022 ; 1-20.[citado 2024 out. 28 ] Available from: https://doi.org/10.1080/03610926.2022.2042561
Artigo de periodico
The exponentiated power exponential semiparametric regression model (2022)
Prataviera, Fabio ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss Moutinho ; Cancho, Vicente Garibay
Source: Communications in Statistics - Simulation and Computation. Unidades: ESALQ, ICMC
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA SEMIPARAMÉTRICA, MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
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ABNT
PRATAVIERA, Fabio et al. The exponentiated power exponential semiparametric regression model. Communications in Statistics - Simulation and Computation, v. 51, n. 10, p. 5933-5953, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1788585. Acesso em: 28 out. 2024.
APA
Prataviera, F., Ortega, E. M. M., Cordeiro, G. M., & Cancho, V. G. (2022). The exponentiated power exponential semiparametric regression model. Communications in Statistics - Simulation and Computation, 51( 10), 5933-5953. doi:10.1080/03610918.2020.1788585
NLM
Prataviera F, Ortega EMM, Cordeiro GM, Cancho VG. The exponentiated power exponential semiparametric regression model [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 10): 5933-5953.[citado 2024 out. 28 ] Available from: https://doi.org/10.1080/03610918.2020.1788585
Vancouver
Prataviera F, Ortega EMM, Cordeiro GM, Cancho VG. The exponentiated power exponential semiparametric regression model [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 10): 5933-5953.[citado 2024 out. 28 ] Available from: https://doi.org/10.1080/03610918.2020.1788585
Trabalho de evento
A influência das commodities no Ibovespa: em busca de um modelo preditivo (2021)
Alonso, Carlos Eduardo; Cancho, Vicente Garibay
Source: Anais. Conference titles: Workshop de Matemática, Estatística e Computação Aplicadas à Indústria - WMECAI. Unidade: ICMC
Subjects: BOLSA DE VALORES, MACROECONOMIA, BOLSA DE MERCADORIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALONSO, Carlos Eduardo e CANCHO, Vicente Garibay. A influência das commodities no Ibovespa: em busca de um modelo preditivo. 2021, Anais.. São Carlos: ICMC-USP, 2021. Disponível em: http://cemeai.icmc.usp.br/1WMECAI/trabalhos/. Acesso em: 28 out. 2024.
APA
Alonso, C. E., & Cancho, V. G. (2021). A influência das commodities no Ibovespa: em busca de um modelo preditivo. In Anais. São Carlos: ICMC-USP. Recuperado de http://cemeai.icmc.usp.br/1WMECAI/trabalhos/
NLM
Alonso CE, Cancho VG. A influência das commodities no Ibovespa: em busca de um modelo preditivo [Internet]. Anais. 2021 ;[citado 2024 out. 28 ] Available from: http://cemeai.icmc.usp.br/1WMECAI/trabalhos/
Vancouver
Alonso CE, Cancho VG. A influência das commodities no Ibovespa: em busca de um modelo preditivo [Internet]. Anais. 2021 ;[citado 2024 out. 28 ] Available from: http://cemeai.icmc.usp.br/1WMECAI/trabalhos/
Artigo de periodico
Survival model induced by discrete frailty for modeling of lifetime data with long-term survivors and change-point (2021)
Cancho, Vicente Garibay ; Barriga, Gladys Dorotea Cacsire ; Leão, Jeremias ; Saulo, Helton
Source: Journal Communications in Statistics - Theory and Methods. Unidade: ICMC
Subjects: VEROSSIMILHANÇA, ANÁLISE DE SOBREVIVÊNCIA, AVALIAÇÃO DE DESEMPENHO, RIM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay et al. Survival model induced by discrete frailty for modeling of lifetime data with long-term survivors and change-point. Journal Communications in Statistics - Theory and Methods, v. 50, n. 5, p. 1161-1172, 2021Tradução . . Disponível em: https://doi.org/10.1080/03610926.2019.1648826. Acesso em: 28 out. 2024.
APA
Cancho, V. G., Barriga, G. D. C., Leão, J., & Saulo, H. (2021). Survival model induced by discrete frailty for modeling of lifetime data with long-term survivors and change-point. Journal Communications in Statistics - Theory and Methods, 50( 5), 1161-1172. doi:10.1080/03610926.2019.1648826
NLM
Cancho VG, Barriga GDC, Leão J, Saulo H. Survival model induced by discrete frailty for modeling of lifetime data with long-term survivors and change-point [Internet]. Journal Communications in Statistics - Theory and Methods. 2021 ; 50( 5): 1161-1172.[citado 2024 out. 28 ] Available from: https://doi.org/10.1080/03610926.2019.1648826
Vancouver
Cancho VG, Barriga GDC, Leão J, Saulo H. Survival model induced by discrete frailty for modeling of lifetime data with long-term survivors and change-point [Internet]. Journal Communications in Statistics - Theory and Methods. 2021 ; 50( 5): 1161-1172.[citado 2024 out. 28 ] Available from: https://doi.org/10.1080/03610926.2019.1648826
Artigo de periodico
A new class of cure rate survival models: properties, inference and applications (2021)
Barriga, Gladys Dorotea Cacsire ; Suzuki, Adriano Kamimura ; Cancho, Vicente Garibay ; Louzada, Francisco
Source: Advances in Data Science and Adaptive Analysis. Unidade: ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, CURA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARRIGA, Gladys Dorotea Cacsire et al. A new class of cure rate survival models: properties, inference and applications. Advances in Data Science and Adaptive Analysis, v. 13, n. 1, p. 2150001-1-2150001-15, 2021Tradução . . Disponível em: https://doi.org/10.1142/S2424922X21500017. Acesso em: 28 out. 2024.
APA
Barriga, G. D. C., Suzuki, A. K., Cancho, V. G., & Louzada, F. (2021). A new class of cure rate survival models: properties, inference and applications. Advances in Data Science and Adaptive Analysis, 13( 1), 2150001-1-2150001-15. doi:10.1142/S2424922X21500017
NLM
Barriga GDC, Suzuki AK, Cancho VG, Louzada F. A new class of cure rate survival models: properties, inference and applications [Internet]. Advances in Data Science and Adaptive Analysis. 2021 ; 13( 1): 2150001-1-2150001-15.[citado 2024 out. 28 ] Available from: https://doi.org/10.1142/S2424922X21500017
Vancouver
Barriga GDC, Suzuki AK, Cancho VG, Louzada F. A new class of cure rate survival models: properties, inference and applications [Internet]. Advances in Data Science and Adaptive Analysis. 2021 ; 13( 1): 2150001-1-2150001-15.[citado 2024 out. 28 ] Available from: https://doi.org/10.1142/S2424922X21500017
Artigo de periodico
The destructive cure rate regression in cancer prognosis and prediction (2021)
Cancho, Vicente Garibay ; Cordeiro, Gauss M.; Barriga, Gladys; Ortega, Edwin Moises Marcos ; Kattan, Michael W
Source: Applied Mathematics and Information Sciences. Unidades: ICMC, ESALQ
Subjects: CARCINOMA, CURA, MASTECTOMIA, MODELOS MATEMÁTICOS, NEOPLASIAS MAMÁRIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay et al. The destructive cure rate regression in cancer prognosis and prediction. Applied Mathematics and Information Sciences, v. 15, n. 2, p. 199-206, 2021Tradução . . Disponível em: https://doi.org/10.18576/amis/150212. Acesso em: 28 out. 2024.
APA
Cancho, V. G., Cordeiro, G. M., Barriga, G., Ortega, E. M. M., & Kattan, M. W. (2021). The destructive cure rate regression in cancer prognosis and prediction. Applied Mathematics and Information Sciences, 15( 2), 199-206. doi:10.18576/amis/150212
NLM
Cancho VG, Cordeiro GM, Barriga G, Ortega EMM, Kattan MW. The destructive cure rate regression in cancer prognosis and prediction [Internet]. Applied Mathematics and Information Sciences. 2021 ; 15( 2): 199-206.[citado 2024 out. 28 ] Available from: https://doi.org/10.18576/amis/150212
Vancouver
Cancho VG, Cordeiro GM, Barriga G, Ortega EMM, Kattan MW. The destructive cure rate regression in cancer prognosis and prediction [Internet]. Applied Mathematics and Information Sciences. 2021 ; 15( 2): 199-206.[citado 2024 out. 28 ] Available from: https://doi.org/10.18576/amis/150212
Artigo de periodico
Bayesian survival model induced by frailty for lifetime with long-term survivors (2021)
Cancho, Vicente Garibay ; Barriga, Gladys Dorotea Cacsire ; Cordeiro, Gauss Moutinho ; Ortega, Edwin Moiséis Marcos ; Suzuki, Adriano Kamimura
Source: Statistica Neerlandica. Unidades: ICMC, ESALQ
Subjects: ANÁLISE DE SOBREVIVÊNCIA, INFERÊNCIA BAYESIANA, MODELOS MATEMÁTICOS, NEOPLASIAS COLORRETAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay et al. Bayesian survival model induced by frailty for lifetime with long-term survivors. Statistica Neerlandica, v. 75, n. 3, p. 299-323, 2021Tradução . . Disponível em: https://doi.org/10.1111/stan.12236. Acesso em: 28 out. 2024.
APA
Cancho, V. G., Barriga, G. D. C., Cordeiro, G. M., Ortega, E. M. M., & Suzuki, A. K. (2021). Bayesian survival model induced by frailty for lifetime with long-term survivors. Statistica Neerlandica, 75( 3), 299-323. doi:10.1111/stan.12236
NLM
Cancho VG, Barriga GDC, Cordeiro GM, Ortega EMM, Suzuki AK. Bayesian survival model induced by frailty for lifetime with long-term survivors [Internet]. Statistica Neerlandica. 2021 ; 75( 3): 299-323.[citado 2024 out. 28 ] Available from: https://doi.org/10.1111/stan.12236
Vancouver
Cancho VG, Barriga GDC, Cordeiro GM, Ortega EMM, Suzuki AK. Bayesian survival model induced by frailty for lifetime with long-term survivors [Internet]. Statistica Neerlandica. 2021 ; 75( 3): 299-323.[citado 2024 out. 28 ] Available from: https://doi.org/10.1111/stan.12236
Artigo de periodico
Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism (2020)
Barriga, Gladys Dorotea Cacsire ; Dey, Dipak Kumar ; Cancho, Vicente Garibay ; Suzuki, Adriano Kamimura
Source: Model Assisted Statistics and Applications. Unidade: ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), MÉTODOS MCMC, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARRIGA, Gladys Dorotea Cacsire et al. Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism. Model Assisted Statistics and Applications, n. 1, p. 35-51, 2020Tradução . . Disponível em: https://doi.org/10.3233/MAS-190477. Acesso em: 28 out. 2024.
APA
Barriga, G. D. C., Dey, D. K., Cancho, V. G., & Suzuki, A. K. (2020). Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism. Model Assisted Statistics and Applications, ( 1), 35-51. doi:10.3233/MAS-190477
NLM
Barriga GDC, Dey DK, Cancho VG, Suzuki AK. Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism [Internet]. Model Assisted Statistics and Applications. 2020 ;( 1): 35-51.[citado 2024 out. 28 ] Available from: https://doi.org/10.3233/MAS-190477
Vancouver
Barriga GDC, Dey DK, Cancho VG, Suzuki AK. Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism [Internet]. Model Assisted Statistics and Applications. 2020 ;( 1): 35-51.[citado 2024 out. 28 ] Available from: https://doi.org/10.3233/MAS-190477

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