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Artigo de periodico
Posterior properties with censored responses using the gamma distribution (2025)
Ramos, Eduardo ; Ramos, Pedro Luiz ; Leão, Jeremias ; Louzada, Francisco
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: DADOS CENSURADOS, DISTRIBUIÇÕES (ANÁLISE FUNCIONAL), MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMOS, Eduardo et al. Posterior properties with censored responses using the gamma distribution. Journal of Statistical Computation and Simulation, v. 95, n. 9, p. 2064-2087, 2025Tradução . . Disponível em: https://doi.org/10.1080/00949655.2025.2479639. Acesso em: 02 jul. 2025.
APA
Ramos, E., Ramos, P. L., Leão, J., & Louzada, F. (2025). Posterior properties with censored responses using the gamma distribution. Journal of Statistical Computation and Simulation, 95( 9), 2064-2087. doi:10.1080/00949655.2025.2479639
NLM
Ramos E, Ramos PL, Leão J, Louzada F. Posterior properties with censored responses using the gamma distribution [Internet]. Journal of Statistical Computation and Simulation. 2025 ; 95( 9): 2064-2087.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2025.2479639
Vancouver
Ramos E, Ramos PL, Leão J, Louzada F. Posterior properties with censored responses using the gamma distribution [Internet]. Journal of Statistical Computation and Simulation. 2025 ; 95( 9): 2064-2087.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2025.2479639
Artigo de periodico
A modified Shewhart control chart for monitoring the BerG-GARMA model (2025)
Sales, Lucas de Oliveira Ferreira de ; Alencar, Airlane Pereira ; Ho, Linda Lee
Source: Journal of Statistical Computation and Simulation. Unidades: IME, EP
Subjects: DADOS DE CONTAGEM, CONTROLE DE PROCESSOS, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SALES, Lucas de Oliveira Ferreira de e ALENCAR, Airlane Pereira e HO, Linda Lee. A modified Shewhart control chart for monitoring the BerG-GARMA model. Journal of Statistical Computation and Simulation, v. 95, n. 9, p. 1993-2009, 2025Tradução . . Disponível em: https://doi.org/10.1080/00949655.2025.2477731. Acesso em: 02 jul. 2025.
APA
Sales, L. de O. F. de, Alencar, A. P., & Ho, L. L. (2025). A modified Shewhart control chart for monitoring the BerG-GARMA model. Journal of Statistical Computation and Simulation, 95( 9), 1993-2009. doi:10.1080/00949655.2025.2477731
NLM
Sales L de OF de, Alencar AP, Ho LL. A modified Shewhart control chart for monitoring the BerG-GARMA model [Internet]. Journal of Statistical Computation and Simulation. 2025 ; 95( 9): 1993-2009.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2025.2477731
Vancouver
Sales L de OF de, Alencar AP, Ho LL. A modified Shewhart control chart for monitoring the BerG-GARMA model [Internet]. Journal of Statistical Computation and Simulation. 2025 ; 95( 9): 1993-2009.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2025.2477731
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, 2025Tradução . . Disponível em: https://doi.org/10.1080/00949655.2025.2501172. Acesso em: 02 jul. 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. 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 ;[citado 2025 jul. 02 ] 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 ;[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2025.2501172
Artigo de periodico
Higher-order asymptotic refinements in a multivariate regression model with general parameterization (2024)
Melo, Tatiane F. N. ; Vargas, Tiago M. ; Lemonte, Artur José ; Patriota, Alexandre Galvão
Source: Journal of Statistical Computation and Simulation. Unidade: IME
Assunto: INFERÊNCIA PARAMÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MELO, Tatiane F. N. et al. Higher-order asymptotic refinements in a multivariate regression model with general parameterization. Journal of Statistical Computation and Simulation, v. 94, n. 13, p. 2952–2975, 2024Tradução . . Disponível em: https://doi.org/10.1080/00949655.2024.2361824. Acesso em: 02 jul. 2025.
APA
Melo, T. F. N., Vargas, T. M., Lemonte, A. J., & Patriota, A. G. (2024). Higher-order asymptotic refinements in a multivariate regression model with general parameterization. Journal of Statistical Computation and Simulation, 94( 13), 2952–2975. doi:10.1080/00949655.2024.2361824
NLM
Melo TFN, Vargas TM, Lemonte AJ, Patriota AG. Higher-order asymptotic refinements in a multivariate regression model with general parameterization [Internet]. Journal of Statistical Computation and Simulation. 2024 ; 94( 13): 2952–2975.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2024.2361824
Vancouver
Melo TFN, Vargas TM, Lemonte AJ, Patriota AG. Higher-order asymptotic refinements in a multivariate regression model with general parameterization [Internet]. Journal of Statistical Computation and Simulation. 2024 ; 94( 13): 2952–2975.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2024.2361824
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: 02 jul. 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 jul. 02 ] 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 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2024.2368887
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, Interinstitucional de Pós-Graduação em Estatística
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, v. 94, n. 18, p. 4072-4106, 2024Tradução . . Disponível em: https://doi.org/10.1080/00949655.2024.2409379. Acesso em: 02 jul. 2025.
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, 94( 18), 4072-4106. doi:10.1080/00949655.2024.2409379
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 ; 94( 18): 4072-4106.[citado 2025 jul. 02 ] 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 ; 94( 18): 4072-4106.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2024.2409379
Artigo de periodico
Frailty model for multiple repairable systems hierarchically represented subject to competing risks (2024)
Gonzatto Junior, Oilson Alberto ; Fernandes, Willian Rafael; Ramos, Pedro Luiz ; Tomazella, Vera Lucia Damasceno ; Louzada, Francisco
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: ESTATÍSTICA APLICADA, TEORIA DA CONFIABILIDADE, RISCO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GONZATTO JUNIOR, Oilson Alberto et al. Frailty model for multiple repairable systems hierarchically represented subject to competing risks. Journal of Statistical Computation and Simulation, v. 94, n. 15, p. 3271-3291, 2024Tradução . . Disponível em: https://doi.org/10.1080/00949655.2024.2381515. Acesso em: 02 jul. 2025.
APA
Gonzatto Junior, O. A., Fernandes, W. R., Ramos, P. L., Tomazella, V. L. D., & Louzada, F. (2024). Frailty model for multiple repairable systems hierarchically represented subject to competing risks. Journal of Statistical Computation and Simulation, 94( 15), 3271-3291. doi:10.1080/00949655.2024.2381515
NLM
Gonzatto Junior OA, Fernandes WR, Ramos PL, Tomazella VLD, Louzada F. Frailty model for multiple repairable systems hierarchically represented subject to competing risks [Internet]. Journal of Statistical Computation and Simulation. 2024 ; 94( 15): 3271-3291.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2024.2381515
Vancouver
Gonzatto Junior OA, Fernandes WR, Ramos PL, Tomazella VLD, Louzada F. Frailty model for multiple repairable systems hierarchically represented subject to competing risks [Internet]. Journal of Statistical Computation and Simulation. 2024 ; 94( 15): 3271-3291.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2024.2381515
Artigo de periodico
Improved gradient statistic in heteroskedastic generalized linear models (2023)
Barros, Fabiana U.; Botter, Denise Aparecida ; Sandoval, Monica Carneiro; Magalhães, Tiago M.
Source: Journal of Statistical Computation and Simulation. Unidade: IME
Assunto: ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARROS, Fabiana U. et al. Improved gradient statistic in heteroskedastic generalized linear models. Journal of Statistical Computation and Simulation, v. 93, n. 12, p. 2052-2066, 2023Tradução . . Disponível em: https://doi.org/10.1080/00949655.2023.2172170. Acesso em: 02 jul. 2025.
APA
Barros, F. U., Botter, D. A., Sandoval, M. C., & Magalhães, T. M. (2023). Improved gradient statistic in heteroskedastic generalized linear models. Journal of Statistical Computation and Simulation, 93( 12), 2052-2066. doi:10.1080/00949655.2023.2172170
NLM
Barros FU, Botter DA, Sandoval MC, Magalhães TM. Improved gradient statistic in heteroskedastic generalized linear models [Internet]. Journal of Statistical Computation and Simulation. 2023 ; 93( 12): 2052-2066.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2023.2172170
Vancouver
Barros FU, Botter DA, Sandoval MC, Magalhães TM. Improved gradient statistic in heteroskedastic generalized linear models [Internet]. Journal of Statistical Computation and Simulation. 2023 ; 93( 12): 2052-2066.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2023.2172170
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: 02 jul. 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 jul. 02 ] 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 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2021.1955887
Artigo de periodico
On estimating the boundaries of a uniform distribution under additive measurement errors (2022)
Al-Sharadqah, Ali A. ; Patriota, Alexandre Galvão
Source: Journal of Statistical Computation and Simulation. Unidade: IME
Assunto: DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AL-SHARADQAH, Ali A. e PATRIOTA, Alexandre Galvão. On estimating the boundaries of a uniform distribution under additive measurement errors. Journal of Statistical Computation and Simulation, v. 92, n. 10, p. 2112-2140, 2022Tradução . . Disponível em: https://doi.org/10.1080/00949655.2021.2022149. Acesso em: 02 jul. 2025.
APA
Al-Sharadqah, A. A., & Patriota, A. G. (2022). On estimating the boundaries of a uniform distribution under additive measurement errors. Journal of Statistical Computation and Simulation, 92( 10), 2112-2140. doi:10.1080/00949655.2021.2022149
NLM
Al-Sharadqah AA, Patriota AG. On estimating the boundaries of a uniform distribution under additive measurement errors [Internet]. Journal of Statistical Computation and Simulation. 2022 ; 92( 10): 2112-2140.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2021.2022149
Vancouver
Al-Sharadqah AA, Patriota AG. On estimating the boundaries of a uniform distribution under additive measurement errors [Internet]. Journal of Statistical Computation and Simulation. 2022 ; 92( 10): 2112-2140.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2021.2022149
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: 02 jul. 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 jul. 02 ] 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 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2021.1981325
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: 02 jul. 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 jul. 02 ] 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 jul. 02 ] 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: 02 jul. 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 jul. 02 ] 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 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2020.1830991
Artigo de periodico
A zero-modified Poisson mixed model with generalized random effect (2021)
Raquel, Gabriela Cintra; Conceição, Katiane Silva ; Prates, Marcos Oliveira ; Andrade, Marinho Gomes de
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: PROCESSOS DE POISSON, SIMULAÇÃO (ESTATÍSTICA), ANÁLISE DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAQUEL, Gabriela Cintra et al. A zero-modified Poisson mixed model with generalized random effect. Journal of Statistical Computation and Simulation, v. 91, n. 12, p. 2457-2474, 2021Tradução . . Disponível em: https://doi.org/10.1080/00949655.2021.1898612. Acesso em: 02 jul. 2025.
APA
Raquel, G. C., Conceição, K. S., Prates, M. O., & Andrade, M. G. de. (2021). A zero-modified Poisson mixed model with generalized random effect. Journal of Statistical Computation and Simulation, 91( 12), 2457-2474. doi:10.1080/00949655.2021.1898612
NLM
Raquel GC, Conceição KS, Prates MO, Andrade MG de. A zero-modified Poisson mixed model with generalized random effect [Internet]. Journal of Statistical Computation and Simulation. 2021 ; 91( 12): 2457-2474.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2021.1898612
Vancouver
Raquel GC, Conceição KS, Prates MO, Andrade MG de. A zero-modified Poisson mixed model with generalized random effect [Internet]. Journal of Statistical Computation and Simulation. 2021 ; 91( 12): 2457-2474.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2021.1898612
Artigo de periodico
A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart (2020)
Quinino, Roberto da Costa ; Ho, Linda Lee ; Cruz, Frederico Rodrigues Borges da ; Bessegato, Lupércio França
Source: Journal of Statistical Computation and Simulation. Unidade: EP
Subjects: GRÁFICOS, ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
QUININO, Roberto da Costa et al. A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart. Journal of Statistical Computation and Simulation, v. 90, n. 9, p. 1639-1660, 2020Tradução . . Disponível em: https://doi.org/10.1080/00949655.2020.1741588. Acesso em: 02 jul. 2025.
APA
Quinino, R. da C., Ho, L. L., Cruz, F. R. B. da, & Bessegato, L. F. (2020). A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart. Journal of Statistical Computation and Simulation, 90( 9), 1639-1660. doi:10.1080/00949655.2020.1741588
NLM
Quinino R da C, Ho LL, Cruz FRB da, Bessegato LF. A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart [Internet]. Journal of Statistical Computation and Simulation. 2020 ; 90( 9): 1639-1660.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2020.1741588
Vancouver
Quinino R da C, Ho LL, Cruz FRB da, Bessegato LF. A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart [Internet]. Journal of Statistical Computation and Simulation. 2020 ; 90( 9): 1639-1660.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2020.1741588
Artigo de periodico
Indirect inference for locally stationary ARMA processes with stable innovations (2020)
Chou-Chen, Shu Wei ; Morettin, Pedro Alberto
Source: Journal of Statistical Computation and Simulation. Unidade: IME
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, INFERÊNCIA PARAMÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHOU-CHEN, Shu Wei e MORETTIN, Pedro Alberto. Indirect inference for locally stationary ARMA processes with stable innovations. Journal of Statistical Computation and Simulation, v. 90, n. 17, p. 3106-3134, 2020Tradução . . Disponível em: https://doi.org/10.1080/00949655.2020.1797030. Acesso em: 02 jul. 2025.
APA
Chou-Chen, S. W., & Morettin, P. A. (2020). Indirect inference for locally stationary ARMA processes with stable innovations. Journal of Statistical Computation and Simulation, 90( 17), 3106-3134. doi:10.1080/00949655.2020.1797030
NLM
Chou-Chen SW, Morettin PA. Indirect inference for locally stationary ARMA processes with stable innovations [Internet]. Journal of Statistical Computation and Simulation. 2020 ; 90( 17): 3106-3134.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2020.1797030
Vancouver
Chou-Chen SW, Morettin PA. Indirect inference for locally stationary ARMA processes with stable innovations [Internet]. Journal of Statistical Computation and Simulation. 2020 ; 90( 17): 3106-3134.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2020.1797030
Artigo de periodico
Performance of asymmetric links and correction methods for imbalanced data in binary regression (2019)
Huayanay, Alex de la Cruz; Bazán Guzmán, Jorge Luis ; Cancho, Vicente Garibay ; Dey, Dipak K.
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: ANÁLISE DE DADOS, REGRESSÃO LOGÍSTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), MODELOS LINEARES GENERALIZADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HUAYANAY, Alex de la Cruz et al. Performance of asymmetric links and correction methods for imbalanced data in binary regression. Journal of Statistical Computation and Simulation, v. 89, n. 9, p. 1694-1714, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2019.1593984. Acesso em: 02 jul. 2025.
APA
Huayanay, A. de la C., Bazán Guzmán, J. L., Cancho, V. G., & Dey, D. K. (2019). Performance of asymmetric links and correction methods for imbalanced data in binary regression. Journal of Statistical Computation and Simulation, 89( 9), 1694-1714. doi:10.1080/00949655.2019.1593984
NLM
Huayanay A de la C, Bazán Guzmán JL, Cancho VG, Dey DK. Performance of asymmetric links and correction methods for imbalanced data in binary regression [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 9): 1694-1714.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2019.1593984
Vancouver
Huayanay A de la C, Bazán Guzmán JL, Cancho VG, Dey DK. Performance of asymmetric links and correction methods for imbalanced data in binary regression [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 9): 1694-1714.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2019.1593984
Artigo de periodico
Zero-spiked regression models generated by gamma random variables with application in the resin oil production (2019)
Hashimoto, Elizabeth M; Ortega, Edwin Moises Marcos; Cordeiro, Gauss M; Cancho, Vicente Garibay ; Klauberg, Carine
Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Subjects: REGRESSÃO LINEAR, ÓLEOS VEGETAIS, COPAÍBA, RESINAS VEGETAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HASHIMOTO, Elizabeth M et al. Zero-spiked regression models generated by gamma random variables with application in the resin oil production. Journal of Statistical Computation and Simulation, v. 89, n. 1, p. 52-70, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1534116. Acesso em: 02 jul. 2025.
APA
Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Klauberg, C. (2019). Zero-spiked regression models generated by gamma random variables with application in the resin oil production. Journal of Statistical Computation and Simulation, 89( 1), 52-70. doi:10.1080/00949655.2018.1534116
NLM
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Klauberg C. Zero-spiked regression models generated by gamma random variables with application in the resin oil production [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 1): 52-70.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
Vancouver
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Klauberg C. Zero-spiked regression models generated by gamma random variables with application in the resin oil production [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 1): 52-70.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
Artigo de periodico
A data-driven selection of the number of clusters in the Dirichlet allocation model via Bayesian mixture modelling (2019)
Saraiva, Erlandson Ferreira ; Pereira, C. A. B; Suzuki, Adriano Kamimura
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: CLUSTERS, ALGORITMOS ÚTEIS E ESPECÍFICOS, DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SARAIVA, Erlandson Ferreira e PEREIRA, C. A. B e SUZUKI, Adriano Kamimura. A data-driven selection of the number of clusters in the Dirichlet allocation model via Bayesian mixture modelling. Journal of Statistical Computation and Simulation, v. 89, n. 15, p. 2848-2870, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2019.1643345. Acesso em: 02 jul. 2025.
APA
Saraiva, E. F., Pereira, C. A. B., & Suzuki, A. K. (2019). A data-driven selection of the number of clusters in the Dirichlet allocation model via Bayesian mixture modelling. Journal of Statistical Computation and Simulation, 89( 15), 2848-2870. doi:10.1080/00949655.2019.1643345
NLM
Saraiva EF, Pereira CAB, Suzuki AK. A data-driven selection of the number of clusters in the Dirichlet allocation model via Bayesian mixture modelling [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 15): 2848-2870.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2019.1643345
Vancouver
Saraiva EF, Pereira CAB, Suzuki AK. A data-driven selection of the number of clusters in the Dirichlet allocation model via Bayesian mixture modelling [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 15): 2848-2870.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2019.1643345
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: 02 jul. 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 jul. 02 ] 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 jul. 02 ] Available from: https://doi.org/10.1080/00949655.2018.1554660

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