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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
Fonte: Journal of Statistical Computation and Simulation. Unidade: ICMC
Assuntos: 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, v. 95, n. 12, p. 2554–2571, 2025Tradução . . Disponível em: https://doi.org/10.1080/00949655.2025.2501172. Acesso em: 22 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. 22 ] 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. 22 ] 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
Fonte: Journal of Statistical Computation and Simulation. Unidade: ICMC
Assuntos: ANÁLISE DE SOBREVIVÊNCIA, SISTEMA IMUNE, NEOPLASIAS COLORRETAIS, FATORES DE RISCO
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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: 22 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. 22 ] 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. 22 ] Available from: https://doi.org/10.1080/00949655.2024.2368887
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
Fonte: Journal of Statistical Computation and Simulation. Unidade: ICMC
Assuntos: ANÁLISE DE SOBREVIVÊNCIA, VEROSSIMILHANÇA, INFERÊNCIA BAYESIANA
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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: 22 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. 22 ] 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. 22 ] 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
Fonte: Journal of Statistical Computation and Simulation. Unidade: ICMC
Assuntos: PROCESSOS DE POISSON, SIMULAÇÃO (ESTATÍSTICA), ANÁLISE DE DADOS
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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: 22 nov. 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 nov. 22 ] 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 nov. 22 ] 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
Fonte: Journal of Statistical Computation and Simulation. Unidade: EP
Assuntos: GRÁFICOS, ESTATÍSTICA
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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: 22 nov. 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 nov. 22 ] 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 nov. 22 ] Available from: https://doi.org/10.1080/00949655.2020.1741588
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.
Fonte: Journal of Statistical Computation and Simulation. Unidade: ICMC
Assuntos: ANÁLISE DE DADOS, REGRESSÃO LOGÍSTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), MODELOS LINEARES GENERALIZADOS
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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: 22 nov. 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 nov. 22 ] 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 nov. 22 ] 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
Fonte: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Assuntos: REGRESSÃO LINEAR, ÓLEOS VEGETAIS, COPAÍBA, RESINAS VEGETAIS
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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: 22 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. 22 ] 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. 22 ] 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
Fonte: Journal of Statistical Computation and Simulation. Unidade: ICMC
Assuntos: CLUSTERS, ALGORITMOS ÚTEIS E ESPECÍFICOS, DISTRIBUIÇÕES (PROBABILIDADE)
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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: 22 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. 22 ] 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. 22 ] Available from: https://doi.org/10.1080/00949655.2019.1643345
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
Fonte: Journal of Statistical Computation and Simulation. Unidades: ESALQ, ICMC
Assuntos: 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: 22 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. 22 ] 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. 22 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
Artigo de periodico
Efficient closed-form maximum a posteriori estimators for the gamma distribution (2018)
Louzada, Francisco ; Ramos, Pedro Luiz
Fonte: Journal of Statistical Computation and Simulation. Unidade: ICMC
Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA
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ABNT
LOUZADA, Francisco e RAMOS, Pedro Luiz. Efficient closed-form maximum a posteriori estimators for the gamma distribution. Journal of Statistical Computation and Simulation, v. 88, n. Ja 2018, p. 1134-1146, 2018Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1422503. Acesso em: 22 nov. 2025.
APA
Louzada, F., & Ramos, P. L. (2018). Efficient closed-form maximum a posteriori estimators for the gamma distribution. Journal of Statistical Computation and Simulation, 88( Ja 2018), 1134-1146. doi:10.1080/00949655.2017.1422503
NLM
Louzada F, Ramos PL. Efficient closed-form maximum a posteriori estimators for the gamma distribution [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( Ja 2018): 1134-1146.[citado 2025 nov. 22 ] Available from: https://doi.org/10.1080/00949655.2017.1422503
Vancouver
Louzada F, Ramos PL. Efficient closed-form maximum a posteriori estimators for the gamma distribution [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( Ja 2018): 1134-1146.[citado 2025 nov. 22 ] Available from: https://doi.org/10.1080/00949655.2017.1422503
Artigo de periodico
Effect of autocorrelation estimators on the performance of the X¯ control chart (2018)
Garza Venegas, Jorge Arturo; Tercero Gómez, Víctor Gustavo; Ho, Linda Lee ; Castagliola, Philippe ; Celano, Giovanni
Fonte: Journal of Statistical Computation and Simulation. Unidade: EP
Assunto: GRÁFICOS
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ABNT
GARZA VENEGAS, Jorge Arturo et al. Effect of autocorrelation estimators on the performance of the X¯ control chart. Journal of Statistical Computation and Simulation, v. 88, n. 13, p. 2612-2630, 2018Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1479752. Acesso em: 22 nov. 2025.
APA
Garza Venegas, J. A., Tercero Gómez, V. G., Ho, L. L., Castagliola, P., & Celano, G. (2018). Effect of autocorrelation estimators on the performance of the X¯ control chart. Journal of Statistical Computation and Simulation, 88( 13), 2612-2630. doi:10.1080/00949655.2018.1479752
NLM
Garza Venegas JA, Tercero Gómez VG, Ho LL, Castagliola P, Celano G. Effect of autocorrelation estimators on the performance of the X¯ control chart [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 13): 2612-2630.[citado 2025 nov. 22 ] Available from: https://doi.org/10.1080/00949655.2018.1479752
Vancouver
Garza Venegas JA, Tercero Gómez VG, Ho LL, Castagliola P, Celano G. Effect of autocorrelation estimators on the performance of the X¯ control chart [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 13): 2612-2630.[citado 2025 nov. 22 ] Available from: https://doi.org/10.1080/00949655.2018.1479752
Artigo de periodico
A flexible cure rate model based on the polylogarithm distribution (2018)
Gallardo, Diego I.; Gómez, Yolanda M.; Castro, Mário de
Fonte: Journal of Statistical Computation and Simulation. Unidade: ICMC
Assunto: ANÁLISE DE SOBREVIVÊNCIA
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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: 22 nov. 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 nov. 22 ] 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 nov. 22 ] 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
Fonte: Journal of Statistical Computation and Simulation. Unidade: ICMC
Assuntos: 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: 22 nov. 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 nov. 22 ] 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 nov. 22 ] Available from: https://doi.org/10.1080/00949655.2018.1452925
Artigo de periodico
The Burr XII System of densities: properties, regression model and applications (2018)
Cordeiro, Gauss M; Yousof, Haitham M; Ramires, Thiago G; Ortega, Edwin Moises Marcos
Fonte: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORDEIRO, Gauss M et al. The Burr XII System of densities: properties, regression model and applications. Journal of Statistical Computation and Simulation, v. 88, n. 3, p. 432-456, 2018Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1392524. Acesso em: 22 nov. 2025.
APA
Cordeiro, G. M., Yousof, H. M., Ramires, T. G., & Ortega, E. M. M. (2018). The Burr XII System of densities: properties, regression model and applications. Journal of Statistical Computation and Simulation, 88( 3), 432-456. doi:10.1080/00949655.2017.1392524
NLM
Cordeiro GM, Yousof HM, Ramires TG, Ortega EMM. The Burr XII System of densities: properties, regression model and applications [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 3): 432-456.[citado 2025 nov. 22 ] Available from: https://doi.org/10.1080/00949655.2017.1392524
Vancouver
Cordeiro GM, Yousof HM, Ramires TG, Ortega EMM. The Burr XII System of densities: properties, regression model and applications [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 3): 432-456.[citado 2025 nov. 22 ] Available from: https://doi.org/10.1080/00949655.2017.1392524
Artigo de periodico
Zero-modified power series distribution and its Hurdle distribution version (2017)
Conceição, Katiane Silva ; Louzada, Francisco ; Andrade, Marinho Gomes de ; Helou, Elias Salomão
Fonte: Journal of Statistical Computation and Simulation. Unidade: ICMC
Assuntos: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, PROBABILIDADE, OTIMIZAÇÃO, OTIMIZAÇÃO COMBINATÓRIA
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ABNT
CONCEIÇÃO, Katiane Silva et al. Zero-modified power series distribution and its Hurdle distribution version. Journal of Statistical Computation and Simulation, v. Fe 2017, n. 9, p. 1842-1862, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1289529. Acesso em: 22 nov. 2025.
APA
Conceição, K. S., Louzada, F., Andrade, M. G. de, & Helou, E. S. (2017). Zero-modified power series distribution and its Hurdle distribution version. Journal of Statistical Computation and Simulation, Fe 2017( 9), 1842-1862. doi:10.1080/00949655.2017.1289529
NLM
Conceição KS, Louzada F, Andrade MG de, Helou ES. Zero-modified power series distribution and its Hurdle distribution version [Internet]. Journal of Statistical Computation and Simulation. 2017 ; Fe 2017( 9): 1842-1862.[citado 2025 nov. 22 ] Available from: https://doi.org/10.1080/00949655.2017.1289529
Vancouver
Conceição KS, Louzada F, Andrade MG de, Helou ES. Zero-modified power series distribution and its Hurdle distribution version [Internet]. Journal of Statistical Computation and Simulation. 2017 ; Fe 2017( 9): 1842-1862.[citado 2025 nov. 22 ] Available from: https://doi.org/10.1080/00949655.2017.1289529
Artigo de periodico
Performance of coefficient of variation estimators in ranked set sampling (2017)
Consulin, Cintia Maestreli; Ferreira, Damiane; Lara, Idemauro Antonio Rodrigues de; De Lorenzo, Antonino; Di Renzo, Laura; Taconeli, Cesar Augusto
Fonte: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Assuntos: AMOSTRAGEM, DISTRIBUIÇÃO NORMAL, ESTIMAÇÃO NÃO PARAMÉTRICA, ESTIMAÇÃO PARAMÉTRICA, MÉTODO DE MONTE CARLO, SIMULAÇÃO (ESTATÍSTICA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CONSULIN, Cintia Maestreli et al. Performance of coefficient of variation estimators in ranked set sampling. Journal of Statistical Computation and Simulation, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1381959. Acesso em: 22 nov. 2025.
APA
Consulin, C. M., Ferreira, D., Lara, I. A. R. de, De Lorenzo, A., Di Renzo, L., & Taconeli, C. A. (2017). Performance of coefficient of variation estimators in ranked set sampling. Journal of Statistical Computation and Simulation. doi:10.1080/00949655.2017.1381959
NLM
Consulin CM, Ferreira D, Lara IAR de, De Lorenzo A, Di Renzo L, Taconeli CA. Performance of coefficient of variation estimators in ranked set sampling [Internet]. Journal of Statistical Computation and Simulation. 2017 ;[citado 2025 nov. 22 ] Available from: https://doi.org/10.1080/00949655.2017.1381959
Vancouver
Consulin CM, Ferreira D, Lara IAR de, De Lorenzo A, Di Renzo L, Taconeli CA. Performance of coefficient of variation estimators in ranked set sampling [Internet]. Journal of Statistical Computation and Simulation. 2017 ;[citado 2025 nov. 22 ] Available from: https://doi.org/10.1080/00949655.2017.1381959
Artigo de periodico
Odd-Burr generalized family of distributions with some applications (2017)
Alizadeh, Morad; Cordeiro, Gauss M; Nascimento, Abraão D. C; Lima, Maria do Carmo S; Ortega, Edwin Moises Marcos
Fonte: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALIZADEH, Morad et al. Odd-Burr generalized family of distributions with some applications. Journal of Statistical Computation and Simulation, v. 87, n. 2, p. 367-389, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2016.1209200. Acesso em: 22 nov. 2025.
APA
Alizadeh, M., Cordeiro, G. M., Nascimento, A. D. C., Lima, M. do C. S., & Ortega, E. M. M. (2017). Odd-Burr generalized family of distributions with some applications. Journal of Statistical Computation and Simulation, 87( 2), 367-389. doi:10.1080/00949655.2016.1209200
NLM
Alizadeh M, Cordeiro GM, Nascimento ADC, Lima M do CS, Ortega EMM. Odd-Burr generalized family of distributions with some applications [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 2): 367-389.[citado 2025 nov. 22 ] Available from: https://doi.org/10.1080/00949655.2016.1209200
Vancouver
Alizadeh M, Cordeiro GM, Nascimento ADC, Lima M do CS, Ortega EMM. Odd-Burr generalized family of distributions with some applications [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 2): 367-389.[citado 2025 nov. 22 ] Available from: https://doi.org/10.1080/00949655.2016.1209200
Artigo de periodico
An alternative method for evaluating stationarity in transition models (2017)
Lara, Idemauro Antonio Rodrigues de; Hinde, John; Taconeli, Cesar Augusto
Fonte: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Assuntos: ANÁLISE DE DADOS LONGITUDINAIS, DADOS CATEGORIZADOS, MODELOS LINEARES GENERALIZADOS, PROBABILIDADE, PROCESSOS DE MARKOV, SIMULAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LARA, Idemauro Antonio Rodrigues de e HINDE, John e TACONELI, Cesar Augusto. An alternative method for evaluating stationarity in transition models. Journal of Statistical Computation and Simulation, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1351562. Acesso em: 22 nov. 2025.
APA
Lara, I. A. R. de, Hinde, J., & Taconeli, C. A. (2017). An alternative method for evaluating stationarity in transition models. Journal of Statistical Computation and Simulation. doi:10.1080/00949655.2017.1351562
NLM
Lara IAR de, Hinde J, Taconeli CA. An alternative method for evaluating stationarity in transition models [Internet]. Journal of Statistical Computation and Simulation. 2017 ;[citado 2025 nov. 22 ] Available from: https://doi.org/10.1080/00949655.2017.1351562
Vancouver
Lara IAR de, Hinde J, Taconeli CA. An alternative method for evaluating stationarity in transition models [Internet]. Journal of Statistical Computation and Simulation. 2017 ;[citado 2025 nov. 22 ] Available from: https://doi.org/10.1080/00949655.2017.1351562
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
Fonte: 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: 22 nov. 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 nov. 22 ] 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 nov. 22 ] Available from: https://doi.org/10.1080/00949655.2017.1327589
Artigo de periodico
Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach (2017)
Lachos, Víctor H.; Dey, Dipak K; Cancho, Vicente Garibay ; Louzada, Francisco
Fonte: Journal of Statistical Computation and Simulation. Unidade: ICMC
Assuntos: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, PROBABILIDADE, ANÁLISE DE SOBREVIVÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LACHOS, Víctor H. et al. Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach. Journal of Statistical Computation and Simulation, v. 87, n. 10, p. 2002-2022, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1306860. Acesso em: 22 nov. 2025.
APA
Lachos, V. H., Dey, D. K., Cancho, V. G., & Louzada, F. (2017). Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach. Journal of Statistical Computation and Simulation, 87( 10), 2002-2022. doi:10.1080/00949655.2017.1306860
NLM
Lachos VH, Dey DK, Cancho VG, Louzada F. Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 10): 2002-2022.[citado 2025 nov. 22 ] Available from: https://doi.org/10.1080/00949655.2017.1306860
Vancouver
Lachos VH, Dey DK, Cancho VG, Louzada F. Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 10): 2002-2022.[citado 2025 nov. 22 ] Available from: https://doi.org/10.1080/00949655.2017.1306860

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