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Artigo de periodico
Hypothesis testing for the dispersion parameter of the mean-parametrized COM-Poisson regression (2025)
Santos, Daiane de Souza ; Cancho, Vicente Garibay
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: VEROSSIMILHANÇA, MÉTODO DE MONTE CARLO, MODELAGEM DE DADOS, DADOS DE CONTAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Daiane de Souza e CANCHO, Vicente Garibay. Hypothesis testing for the dispersion parameter of the mean-parametrized COM-Poisson regression. Journal of Statistical Computation and Simulation, v. 95, n. 12, p. 2554–2571, 2025Tradução . . Disponível em: https://doi.org/10.1080/00949655.2025.2501172. Acesso em: 29 nov. 2025.
APA
Santos, D. de S., & Cancho, V. G. (2025). Hypothesis testing for the dispersion parameter of the mean-parametrized COM-Poisson regression. Journal of Statistical Computation and Simulation, 95( 12), 2554–2571. doi:10.1080/00949655.2025.2501172
NLM
Santos D de S, Cancho VG. Hypothesis testing for the dispersion parameter of the mean-parametrized COM-Poisson regression [Internet]. Journal of Statistical Computation and Simulation. 2025 ; 95( 12): 2554–2571.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2025.2501172
Vancouver
Santos D de S, Cancho VG. Hypothesis testing for the dispersion parameter of the mean-parametrized COM-Poisson regression [Internet]. Journal of Statistical Computation and Simulation. 2025 ; 95( 12): 2554–2571.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2025.2501172
Artigo de periodico
Discrete Weibull distribution: different estimation methods under ranked set sampling and simple random sampling (2021)
Taconeli, Cesar Augusto ; Lara, Idemauro Antonio Rodrigues de
Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Subjects: MODELOS MATEMÁTICOS, VEROSSIMILHANÇA, DADOS DE CONTAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TACONELI, Cesar Augusto e LARA, Idemauro Antonio Rodrigues de. Discrete Weibull distribution: different estimation methods under ranked set sampling and simple random sampling. Journal of Statistical Computation and Simulation, 2021Tradução . . Disponível em: https://doi.org/10.1080/00949655.2021.2005597. Acesso em: 29 nov. 2025.
APA
Taconeli, C. A., & Lara, I. A. R. de. (2021). Discrete Weibull distribution: different estimation methods under ranked set sampling and simple random sampling. Journal of Statistical Computation and Simulation. doi:10.1080/00949655.2021.2005597
NLM
Taconeli CA, Lara IAR de. Discrete Weibull distribution: different estimation methods under ranked set sampling and simple random sampling [Internet]. Journal of Statistical Computation and Simulation. 2021 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2021.2005597
Vancouver
Taconeli CA, Lara IAR de. Discrete Weibull distribution: different estimation methods under ranked set sampling and simple random sampling [Internet]. Journal of Statistical Computation and Simulation. 2021 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2021.2005597
Artigo de periodico
Bayesian analysis of the inverse generalized gamma distribution using objective priors (2021)
Ramos, Pedro Luiz ; Mota, Alex Leal ; Ferreira, Paulo Henrique ; Ramos, Eduardo ; Tomazella, Vera Lucia Damasceno ; Louzada, Francisco
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, VEROSSIMILHANÇA, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMOS, Pedro Luiz et al. Bayesian analysis of the inverse generalized gamma distribution using objective priors. Journal of Statistical Computation and Simulation, v. 91, n. 4, p. 786-816, 2021Tradução . . Disponível em: https://doi.org/10.1080/00949655.2020.1830991. Acesso em: 29 nov. 2025.
APA
Ramos, P. L., Mota, A. L., Ferreira, P. H., Ramos, E., Tomazella, V. L. D., & Louzada, F. (2021). Bayesian analysis of the inverse generalized gamma distribution using objective priors. Journal of Statistical Computation and Simulation, 91( 4), 786-816. doi:10.1080/00949655.2020.1830991
NLM
Ramos PL, Mota AL, Ferreira PH, Ramos E, Tomazella VLD, Louzada F. Bayesian analysis of the inverse generalized gamma distribution using objective priors [Internet]. Journal of Statistical Computation and Simulation. 2021 ; 91( 4): 786-816.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2020.1830991
Vancouver
Ramos PL, Mota AL, Ferreira PH, Ramos E, Tomazella VLD, Louzada F. Bayesian analysis of the inverse generalized gamma distribution using objective priors [Internet]. Journal of Statistical Computation and Simulation. 2021 ; 91( 4): 786-816.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2020.1830991
Artigo de periodico
Likelihood-based tests in zero-inflated power series models (2019)
Zavaleta, Katherine Elizabeth Coaguila; Cancho, Vicente Garibay ; Lemonte, Artur José
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: INFERÊNCIA PARAMÉTRICA, INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO, VEROSSIMILHANÇA, TESTES DE HIPÓTESES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZAVALETA, Katherine Elizabeth Coaguila e CANCHO, Vicente Garibay e LEMONTE, Artur José. Likelihood-based tests in zero-inflated power series models. Journal of Statistical Computation and Simulation, v. 89, n. 3, p. 443-460, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1554660. Acesso em: 29 nov. 2025.
APA
Zavaleta, K. E. C., Cancho, V. G., & Lemonte, A. J. (2019). Likelihood-based tests in zero-inflated power series models. Journal of Statistical Computation and Simulation, 89( 3), 443-460. doi:10.1080/00949655.2018.1554660
NLM
Zavaleta KEC, Cancho VG, Lemonte AJ. Likelihood-based tests in zero-inflated power series models [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 3): 443-460.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2018.1554660
Vancouver
Zavaleta KEC, Cancho VG, Lemonte AJ. Likelihood-based tests in zero-inflated power series models [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 3): 443-460.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2018.1554660
Artigo de periodico
Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model (2019)
Santos, Daiane de Souza ; Cancho, Vicente Garibay ; Rodrigues, Josemar
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: DADOS DE CONTAGEM, TESTES DE HIPÓTESES, DISTRIBUIÇÃO DE POISSON, VEROSSIMILHANÇA, MÉTODO DE MONTE CARLO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Daiane de Souza e CANCHO, Vicente Garibay e RODRIGUES, Josemar. Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model. Journal of Statistical Computation and Simulation, v. 89, n. 5, p. 763-775, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2019.1572144. Acesso em: 29 nov. 2025.
APA
Santos, D. de S., Cancho, V. G., & Rodrigues, J. (2019). Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model. Journal of Statistical Computation and Simulation, 89( 5), 763-775. doi:10.1080/00949655.2019.1572144
NLM
Santos D de S, Cancho VG, Rodrigues J. Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 5): 763-775.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2019.1572144
Vancouver
Santos D de S, Cancho VG, Rodrigues J. Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 5): 763-775.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2019.1572144
Artigo de periodico
Improved estimators for generalized linear models with dispersion covariates (1998)
Botter, Denise Aparecida ; Cordeiro, Gauss Moutinho
Source: Journal of Statistical Computation and Simulation. Unidade: IME
Subjects: MODELOS LINEARES GENERALIZADOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BOTTER, Denise Aparecida e CORDEIRO, Gauss Moutinho. Improved estimators for generalized linear models with dispersion covariates. Journal of Statistical Computation and Simulation, v. 62, n. 1/2, p. 91-104, 1998Tradução . . Disponível em: https://doi.org/10.1080/00949659808811926. Acesso em: 29 nov. 2025.
APA
Botter, D. A., & Cordeiro, G. M. (1998). Improved estimators for generalized linear models with dispersion covariates. Journal of Statistical Computation and Simulation, 62( 1/2), 91-104. doi:10.1080/00949659808811926
NLM
Botter DA, Cordeiro GM. Improved estimators for generalized linear models with dispersion covariates [Internet]. Journal of Statistical Computation and Simulation. 1998 ; 62( 1/2): 91-104.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949659808811926
Vancouver
Botter DA, Cordeiro GM. Improved estimators for generalized linear models with dispersion covariates [Internet]. Journal of Statistical Computation and Simulation. 1998 ; 62( 1/2): 91-104.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949659808811926

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