ReP USP - Resultado da busca

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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] Available from: https://doi.org/10.1080/00949655.2025.2501172
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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] 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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] Available from: https://doi.org/10.1080/00949655.2019.1572144
Artigo de periodico
Statistical diagnostics for nonlinear regression models based on scale mixtures of skew-normal distributions (2014)
Garay, Aldo William Medina ; Lachos, Víctor H; Labra, Filidor V; Ortega, Edwin Moises Marcos
Source: Journal of Statistical Computation and Simulation. Unidades: ESALQ, IME
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARAY, Aldo William Medina et al. Statistical diagnostics for nonlinear regression models based on scale mixtures of skew-normal distributions. Journal of Statistical Computation and Simulation, v. 84, n. 4, p. 1761–1778, 2014Tradução . . Disponível em: https://doi.org/10.1080/00949655.2013.766188. Acesso em: 01 dez. 2025.
APA
Garay, A. W. M., Lachos, V. H., Labra, F. V., & Ortega, E. M. M. (2014). Statistical diagnostics for nonlinear regression models based on scale mixtures of skew-normal distributions. Journal of Statistical Computation and Simulation, 84( 4), 1761–1778. doi:10.1080/00949655.2013.766188
NLM
Garay AWM, Lachos VH, Labra FV, Ortega EMM. Statistical diagnostics for nonlinear regression models based on scale mixtures of skew-normal distributions [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 4): 1761–1778.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1080/00949655.2013.766188
Vancouver
Garay AWM, Lachos VH, Labra FV, Ortega EMM. Statistical diagnostics for nonlinear regression models based on scale mixtures of skew-normal distributions [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 4): 1761–1778.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1080/00949655.2013.766188

USP Schools

ReP

Filtros

Authors

Subjects

Funding Agencies

Indexado em