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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
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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: 04 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. 04 ] 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. 04 ] 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: 04 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. 04 ] 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. 04 ] 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: 04 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. 04 ] 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. 04 ] Available from: https://doi.org/10.1080/00949655.2021.1981325
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: 04 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. 04 ] 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. 04 ] Available from: https://doi.org/10.1080/00949655.2021.1898612
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: 04 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. 04 ] 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. 04 ] Available from: https://doi.org/10.1080/00949655.2019.1593984
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: 04 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. 04 ] 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. 04 ] 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: 04 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. 04 ] 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. 04 ] 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: 04 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. 04 ] 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. 04 ] 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: 04 jul. 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 jul. 04 ] 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 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2019.1572144
Artigo de periodico
A flexible cure rate model based on the polylogarithm distribution (2018)
Gallardo, Diego I.; Gómez, Yolanda M.; Castro, Mário de
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Assunto: ANÁLISE DE SOBREVIVÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GALLARDO, Diego I. e GÓMEZ, Yolanda M. e CASTRO, Mário de. A flexible cure rate model based on the polylogarithm distribution. Journal of Statistical Computation and Simulation, v. 88, n. 11, p. 2137-2149, 2018Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1451850. Acesso em: 04 jul. 2025.
APA
Gallardo, D. I., Gómez, Y. M., & Castro, M. de. (2018). A flexible cure rate model based on the polylogarithm distribution. Journal of Statistical Computation and Simulation, 88( 11), 2137-2149. doi:10.1080/00949655.2018.1451850
NLM
Gallardo DI, Gómez YM, Castro M de. A flexible cure rate model based on the polylogarithm distribution [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 11): 2137-2149.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1451850
Vancouver
Gallardo DI, Gómez YM, Castro M de. A flexible cure rate model based on the polylogarithm distribution [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 11): 2137-2149.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1451850
Artigo de periodico
A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances (2018)
Tomaya, Lorena Cáceres; Castro, Mário de
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOMAYA, Lorena Cáceres e CASTRO, Mário de. A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances. Journal of Statistical Computation and Simulation, v. 88, n. 11, p. 2185-2200, 2018Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1452925. Acesso em: 04 jul. 2025.
APA
Tomaya, L. C., & Castro, M. de. (2018). A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances. Journal of Statistical Computation and Simulation, 88( 11), 2185-2200. doi:10.1080/00949655.2018.1452925
NLM
Tomaya LC, Castro M de. A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 11): 2185-2200.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1452925
Vancouver
Tomaya LC, Castro M de. A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 11): 2185-2200.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1452925
Artigo de periodico
A note on the EM algorithm for estimation in the destructive negative binomial cure rate model (2017)
Gallardo Mateluna, Diego Ignacio; Gómez, Yolanda M.; Castro, Mário de
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Assunto: ANÁLISE DE SOBREVIVÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GALLARDO MATELUNA, Diego Ignacio e GÓMEZ, Yolanda M. e CASTRO, Mário de. A note on the EM algorithm for estimation in the destructive negative binomial cure rate model. Journal of Statistical Computation and Simulation, v. 87, n. 12, p. 2291-2297, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1327589. Acesso em: 04 jul. 2025.
APA
Gallardo Mateluna, D. I., Gómez, Y. M., & Castro, M. de. (2017). A note on the EM algorithm for estimation in the destructive negative binomial cure rate model. Journal of Statistical Computation and Simulation, 87( 12), 2291-2297. doi:10.1080/00949655.2017.1327589
NLM
Gallardo Mateluna DI, Gómez YM, Castro M de. A note on the EM algorithm for estimation in the destructive negative binomial cure rate model [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 12): 2291-2297.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2017.1327589
Vancouver
Gallardo Mateluna DI, Gómez YM, Castro M de. A note on the EM algorithm for estimation in the destructive negative binomial cure rate model [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 12): 2291-2297.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2017.1327589
Artigo de periodico
Latent cure rate model under repair system and threshold effect (2015)
Rodrigues, Josemar ; Balakrishnan, Narayanaswamy; Cordeiro, Gauss M; Castro, Mário de ; Cancho, Vicente Garibay
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR, INFERÊNCIA PARAMÉTRICA, PROBABILIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Josemar et al. Latent cure rate model under repair system and threshold effect. Journal of Statistical Computation and Simulation, v. 85, n. 14, p. 2860-2873, 2015Tradução . . Disponível em: https://doi.org/10.1080/00949655.2014.943223. Acesso em: 04 jul. 2025.
APA
Rodrigues, J., Balakrishnan, N., Cordeiro, G. M., Castro, M. de, & Cancho, V. G. (2015). Latent cure rate model under repair system and threshold effect. Journal of Statistical Computation and Simulation, 85( 14), 2860-2873. doi:10.1080/00949655.2014.943223
NLM
Rodrigues J, Balakrishnan N, Cordeiro GM, Castro M de, Cancho VG. Latent cure rate model under repair system and threshold effect [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 14): 2860-2873.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2014.943223
Vancouver
Rodrigues J, Balakrishnan N, Cordeiro GM, Castro M de, Cancho VG. Latent cure rate model under repair system and threshold effect [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 14): 2860-2873.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2014.943223
Artigo de periodico
The Conway-Maxwell-Poisson-generalized gamma regression model with long-term survivors (2011)
Cancho, Vicente Garibay ; Ortega, Edwin Moisés Marcos; Barriga, Gladys Dorotea Cacsire; Hashimoto, Elizabeth Mie
Source: Journal of Statistical Computation and Simulation. Unidades: ICMC, ESALQ
Subjects: INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay et al. The Conway-Maxwell-Poisson-generalized gamma regression model with long-term survivors. Journal of Statistical Computation and Simulation, v. no 2011, n. 11, p. 1461-1481, 2011Tradução . . Disponível em: https://doi.org/10.1080/00949655.2010.491827. Acesso em: 04 jul. 2025.
APA
Cancho, V. G., Ortega, E. M. M., Barriga, G. D. C., & Hashimoto, E. M. (2011). The Conway-Maxwell-Poisson-generalized gamma regression model with long-term survivors. Journal of Statistical Computation and Simulation, no 2011( 11), 1461-1481. doi:10.1080/00949655.2010.491827
NLM
Cancho VG, Ortega EMM, Barriga GDC, Hashimoto EM. The Conway-Maxwell-Poisson-generalized gamma regression model with long-term survivors [Internet]. Journal of Statistical Computation and Simulation. 2011 ; no 2011( 11): 1461-1481.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2010.491827
Vancouver
Cancho VG, Ortega EMM, Barriga GDC, Hashimoto EM. The Conway-Maxwell-Poisson-generalized gamma regression model with long-term survivors [Internet]. Journal of Statistical Computation and Simulation. 2011 ; no 2011( 11): 1461-1481.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2010.491827

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