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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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 29 nov. 2025.
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 2025 nov. 29 ] 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 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2024.2368887
Artigo de periodico
Conway-Maxwell-Poisson seasonal autoregressive moving average model (2022)
Melo, Moizes da Silva ; Alencar, Airlane Pereira
Source: Journal of Statistical Computation and Simulation. Unidade: IME
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MELO, Moizes da Silva e ALENCAR, Airlane Pereira. Conway-Maxwell-Poisson seasonal autoregressive moving average model. Journal of Statistical Computation and Simulation, v. 92, n. 2, p. 283-299, 2022Tradução . . Disponível em: https://doi.org/10.1080/00949655.2021.1955887. Acesso em: 29 nov. 2025.
APA
Melo, M. da S., & Alencar, A. P. (2022). Conway-Maxwell-Poisson seasonal autoregressive moving average model. Journal of Statistical Computation and Simulation, 92( 2), 283-299. doi:10.1080/00949655.2021.1955887
NLM
Melo M da S, Alencar AP. Conway-Maxwell-Poisson seasonal autoregressive moving average model [Internet]. Journal of Statistical Computation and Simulation. 2022 ; 92( 2): 283-299.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2021.1955887
Vancouver
Melo M da S, Alencar AP. Conway-Maxwell-Poisson seasonal autoregressive moving average model [Internet]. Journal of Statistical Computation and Simulation. 2022 ; 92( 2): 283-299.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2021.1955887
Artigo de periodico
New Bayesian approaches to equivalence testing (2022)
Silva, Josimara Tatiane da ; Cobre, Juliana ; Castro, Mário de
Source: Journal of Statistical Computation and Simulation. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Subjects: INFERÊNCIA BAYESIANA, SIMULAÇÃO, ENSAIO CLÍNICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Josimara Tatiane da e COBRE, Juliana e CASTRO, Mário de. New Bayesian approaches to equivalence testing. Journal of Statistical Computation and Simulation, v. 92, n. 5, p. 957-973, 2022Tradução . . Disponível em: https://doi.org/10.1080/00949655.2021.1981325. Acesso em: 29 nov. 2025.
APA
Silva, J. T. da, Cobre, J., & Castro, M. de. (2022). New Bayesian approaches to equivalence testing. Journal of Statistical Computation and Simulation, 92( 5), 957-973. doi:10.1080/00949655.2021.1981325
NLM
Silva JT da, Cobre J, Castro M de. New Bayesian approaches to equivalence testing [Internet]. Journal of Statistical Computation and Simulation. 2022 ; 92( 5): 957-973.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2021.1981325
Vancouver
Silva JT da, Cobre J, Castro M de. New Bayesian approaches to equivalence testing [Internet]. Journal of Statistical Computation and Simulation. 2022 ; 92( 5): 957-973.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2021.1981325
Artigo de periodico
The Kumaraswamy modified Weibull distribution: theory and application (2014)
Cordeiro, Gauss Moutinho ; Ortega, Edwin Moises Marcos ; Silva, Giovana Oliveira
Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), DADOS CENSURADOS, ANÁLISE DE DADOS, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORDEIRO, Gauss Moutinho e ORTEGA, Edwin Moises Marcos e SILVA, Giovana Oliveira. The Kumaraswamy modified Weibull distribution: theory and application. Journal of Statistical Computation and Simulation, v. 84, n. 7, 2014Tradução . . Disponível em: https://doi.org/10.1080/00949655.2012.745125. Acesso em: 29 nov. 2025.
APA
Cordeiro, G. M., Ortega, E. M. M., & Silva, G. O. (2014). The Kumaraswamy modified Weibull distribution: theory and application. Journal of Statistical Computation and Simulation, 84( 7). doi:10.1080/00949655.2012.745125
NLM
Cordeiro GM, Ortega EMM, Silva GO. The Kumaraswamy modified Weibull distribution: theory and application [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 7):[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2012.745125
Vancouver
Cordeiro GM, Ortega EMM, Silva GO. The Kumaraswamy modified Weibull distribution: theory and application [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 7):[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2012.745125

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