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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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1080/00949655.2025.2501172
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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1080/00949655.2024.2368887
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
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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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1080/00949655.2021.1981325
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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1080/00949655.2020.1830991
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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] 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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1080/00949655.2018.1554660
Artigo de periodico
Zero-spiked regression models generated by gamma random variables with application in the resin oil production (2019)
Hashimoto, Elizabeth Mie; Ortega, Edwin Moisés Marcos; Cordeiro, Gauss Moutinho; Cancho, Vicente Garibay ; Klauberg, Carine
Source: Journal of Statistical Computation and Simulation. Unidades: ESALQ, ICMC
Subjects: INFERÊNCIA ESTATÍSTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HASHIMOTO, Elizabeth Mie 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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1080/00949655.2019.1572144
Artigo de periodico
Random number generation and estimation with the bimodal asymmetric power-normal distribution (2016)
Andrade, B. B de; Bolfarine, Heleno ; Siroky, A. N
Source: Journal of Statistical Computation and Simulation. Unidade: IME
Subjects: INFERÊNCIA PARAMÉTRICA, MÉTODOS PROBABILÍSTICOS, ANÁLISE NUMÉRICA, MÉTODOS GRÁFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDRADE, B. B de e BOLFARINE, Heleno e SIROKY, A. N. Random number generation and estimation with the bimodal asymmetric power-normal distribution. Journal of Statistical Computation and Simulation, v. 86, n. 3, p. 460-476, 2016Tradução . . Disponível em: https://doi.org/10.1080/00949655.2015.1016434. Acesso em: 19 nov. 2025.
APA
Andrade, B. B. de, Bolfarine, H., & Siroky, A. N. (2016). Random number generation and estimation with the bimodal asymmetric power-normal distribution. Journal of Statistical Computation and Simulation, 86( 3), 460-476. doi:10.1080/00949655.2015.1016434
NLM
Andrade BB de, Bolfarine H, Siroky AN. Random number generation and estimation with the bimodal asymmetric power-normal distribution [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 3): 460-476.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2015.1016434
Vancouver
Andrade BB de, Bolfarine H, Siroky AN. Random number generation and estimation with the bimodal asymmetric power-normal distribution [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 3): 460-476.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2015.1016434
Artigo de periodico
An extension of log-symmetric regression models: R codes and applications (2016)
Vanegas, Luis Hernando; Paula, Gilberto Alvarenga
Source: Journal of Statistical Computation and Simulation. Unidade: IME
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO NÃO LINEAR, ANÁLISE ESTATÍSTICA DE DADOS, R (SOFTWARE ESTATÍSTICO)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VANEGAS, Luis Hernando e PAULA, Gilberto Alvarenga. An extension of log-symmetric regression models: R codes and applications. Journal of Statistical Computation and Simulation, v. 86, n. 9, p. 1709-1735, 2016Tradução . . Disponível em: https://doi.org/10.1080/00949655.2015.1081689. Acesso em: 19 nov. 2025.
APA
Vanegas, L. H., & Paula, G. A. (2016). An extension of log-symmetric regression models: R codes and applications. Journal of Statistical Computation and Simulation, 86( 9), 1709-1735. doi:10.1080/00949655.2015.1081689
NLM
Vanegas LH, Paula GA. An extension of log-symmetric regression models: R codes and applications [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 9): 1709-1735.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2015.1081689
Vancouver
Vanegas LH, Paula GA. An extension of log-symmetric regression models: R codes and applications [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 9): 1709-1735.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2015.1081689
Artigo de periodico
Inference and diagnostics in skew scale mixtures of normal regression models (2015)
Ferreira, Clécio da Silva; Lachos, Victor Hugo; Bolfarine, Heleno
Source: Journal of Statistical Computation and Simulation. Unidade: IME
Subjects: INFERÊNCIA ESTATÍSTICA, INFERÊNCIA PARAMÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERREIRA, Clécio da Silva e LACHOS, Victor Hugo e BOLFARINE, Heleno. Inference and diagnostics in skew scale mixtures of normal regression models. Journal of Statistical Computation and Simulation, v. 85, n. 3, p. 517-537, 2015Tradução . . Disponível em: https://doi.org/10.1080/00949655.2013.828057. Acesso em: 19 nov. 2025.
APA
Ferreira, C. da S., Lachos, V. H., & Bolfarine, H. (2015). Inference and diagnostics in skew scale mixtures of normal regression models. Journal of Statistical Computation and Simulation, 85( 3), 517-537. doi:10.1080/00949655.2013.828057
NLM
Ferreira C da S, Lachos VH, Bolfarine H. Inference and diagnostics in skew scale mixtures of normal regression models [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 3): 517-537.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2013.828057
Vancouver
Ferreira C da S, Lachos VH, Bolfarine H. Inference and diagnostics in skew scale mixtures of normal regression models [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 3): 517-537.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2013.828057
Artigo de periodico
Adjusted Pearson residuals in beta regression models (2014)
Anholeto, Tatiana; Sandoval, Monica Carneiro; Botter, Denise Aparecida
Source: Journal of Statistical Computation and Simulation. Unidade: IME
Subjects: INFERÊNCIA ESTATÍSTICA, MODELOS NÃO LINEARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANHOLETO, Tatiana e SANDOVAL, Monica Carneiro e BOTTER, Denise Aparecida. Adjusted Pearson residuals in beta regression models. Journal of Statistical Computation and Simulation, v. 84, n. 5, p. 999-1014, 2014Tradução . . Disponível em: https://doi.org/10.1080/00949655.2012.736993. Acesso em: 19 nov. 2025.
APA
Anholeto, T., Sandoval, M. C., & Botter, D. A. (2014). Adjusted Pearson residuals in beta regression models. Journal of Statistical Computation and Simulation, 84( 5), 999-1014. doi:10.1080/00949655.2012.736993
NLM
Anholeto T, Sandoval MC, Botter DA. Adjusted Pearson residuals in beta regression models [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 5): 999-1014.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2012.736993
Vancouver
Anholeto T, Sandoval MC, Botter DA. Adjusted Pearson residuals in beta regression models [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 5): 999-1014.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2012.736993
Artigo de periodico
Modified likelihood ratio tests in heteroskedastic multivariate regression models with measurement error (2014)
Melo, Tatiane F. N; Ferrari, Sílvia Lopes de Paula ; Patriota, Alexandre Galvão
Source: Journal of Statistical Computation and Simulation. Unidade: IME
Subjects: ESTATÍSTICA COMPUTACIONAL, INFERÊNCIA ESTATÍSTICA, ANÁLISE MULTIVARIADA, DISTRIBUIÇÃO ELÍPTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MELO, Tatiane F. N e FERRARI, Sílvia Lopes de Paula e PATRIOTA, Alexandre Galvão. Modified likelihood ratio tests in heteroskedastic multivariate regression models with measurement error. Journal of Statistical Computation and Simulation, v. 84, n. 10, p. 2233-2247, 2014Tradução . . Disponível em: https://doi.org/10.1080/00949655.2013.787691. Acesso em: 19 nov. 2025.
APA
Melo, T. F. N., Ferrari, S. L. de P., & Patriota, A. G. (2014). Modified likelihood ratio tests in heteroskedastic multivariate regression models with measurement error. Journal of Statistical Computation and Simulation, 84( 10), 2233-2247. doi:10.1080/00949655.2013.787691
NLM
Melo TFN, Ferrari SL de P, Patriota AG. Modified likelihood ratio tests in heteroskedastic multivariate regression models with measurement error [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 10): 2233-2247.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2013.787691
Vancouver
Melo TFN, Ferrari SL de P, Patriota AG. Modified likelihood ratio tests in heteroskedastic multivariate regression models with measurement error [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 10): 2233-2247.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2013.787691
Artigo de periodico
The complementary Weibull geometric distribution (2014)
Tojeiro, Cynthia; Louzada, Francisco ; Roman, Mari; Borges, Patrick
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: PROBABILIDADE GEOMÉTRICA, DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOJEIRO, Cynthia et al. The complementary Weibull geometric distribution. Journal of Statistical Computation and Simulation, v. 84, n. 6, p. 1345-1362, 2014Tradução . . Disponível em: https://doi.org/10.1080/00949655.2012.744406. Acesso em: 19 nov. 2025.
APA
Tojeiro, C., Louzada, F., Roman, M., & Borges, P. (2014). The complementary Weibull geometric distribution. Journal of Statistical Computation and Simulation, 84( 6), 1345-1362. doi:10.1080/00949655.2012.744406
NLM
Tojeiro C, Louzada F, Roman M, Borges P. The complementary Weibull geometric distribution [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 6): 1345-1362.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2012.744406
Vancouver
Tojeiro C, Louzada F, Roman M, Borges P. The complementary Weibull geometric distribution [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 6): 1345-1362.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2012.744406

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