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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
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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: 29 nov. 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 nov. 29 ] 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 nov. 29 ] 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
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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: 29 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. 29 ] 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. 29 ] Available from: https://doi.org/10.1080/00949655.2020.1830991
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
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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: 29 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. 29 ] 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. 29 ] 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.
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
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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: 29 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. 29 ] 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. 29 ] 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
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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: 29 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. 29 ] 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. 29 ] 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)
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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: 29 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. 29 ] 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. 29 ] 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: 29 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. 29 ] 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. 29 ] 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: 29 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. 29 ] 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. 29 ] 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: 29 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. 29 ] 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. 29 ] Available from: https://doi.org/10.1080/00949655.2019.1572144
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
Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Subjects: 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: 29 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. 29 ] 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. 29 ] Available from: https://doi.org/10.1080/00949655.2017.1392524
Artigo de periodico
Improved hypothesis testing in a general multivariate elliptical model (2017)
Melo, Tatiane F. N; Ferrari, Sílvia Lopes de Paula ; Patriota, Alexandre Galvão
Source: Journal of Statistical Computation and Simulation. Unidade: IME
Assunto: ESTATÍSTICA
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ABNT
MELO, Tatiane F. N e FERRARI, Sílvia Lopes de Paula e PATRIOTA, Alexandre Galvão. Improved hypothesis testing in a general multivariate elliptical model. Journal of Statistical Computation and Simulation, v. 87, n. 7, p. 1416-1428, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2016.1269330. Acesso em: 29 nov. 2025.
APA
Melo, T. F. N., Ferrari, S. L. de P., & Patriota, A. G. (2017). Improved hypothesis testing in a general multivariate elliptical model. Journal of Statistical Computation and Simulation, 87( 7), 1416-1428. doi:10.1080/00949655.2016.1269330
NLM
Melo TFN, Ferrari SL de P, Patriota AG. Improved hypothesis testing in a general multivariate elliptical model [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 7): 1416-1428.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2016.1269330
Vancouver
Melo TFN, Ferrari SL de P, Patriota AG. Improved hypothesis testing in a general multivariate elliptical model [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 7): 1416-1428.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2016.1269330
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
Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Subjects: AMOSTRAGEM, DISTRIBUIÇÃO NORMAL, ESTIMAÇÃO NÃO PARAMÉTRICA, ESTIMAÇÃO PARAMÉTRICA, MÉTODO DE MONTE CARLO, SIMULAÇÃO (ESTATÍSTICA)
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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: 29 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. 29 ] 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. 29 ] Available from: https://doi.org/10.1080/00949655.2017.1381959
Artigo de periodico
Cubic rank transmuted distributions: inferential issues and applications (2017)
Granzotto, D. C. T; Louzada, Francisco ; Balakrishnan, N.
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GRANZOTTO, D. C. T e LOUZADA, Francisco e BALAKRISHNAN, N. Cubic rank transmuted distributions: inferential issues and applications. Journal of Statistical Computation and Simulation, v. 87, n. 14, p. 2760-2778, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1344239. Acesso em: 29 nov. 2025.
APA
Granzotto, D. C. T., Louzada, F., & Balakrishnan, N. (2017). Cubic rank transmuted distributions: inferential issues and applications. Journal of Statistical Computation and Simulation, 87( 14), 2760-2778. doi:10.1080/00949655.2017.1344239
NLM
Granzotto DCT, Louzada F, Balakrishnan N. Cubic rank transmuted distributions: inferential issues and applications [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 14): 2760-2778.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2017.1344239
Vancouver
Granzotto DCT, Louzada F, Balakrishnan N. Cubic rank transmuted distributions: inferential issues and applications [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 14): 2760-2778.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2017.1344239
Artigo de periodico
An alternative method for evaluating stationarity in transition models (2017)
Lara, Idemauro Antonio Rodrigues de; Hinde, John; Taconeli, Cesar Augusto
Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Subjects: 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: 29 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. 29 ] 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. 29 ] Available from: https://doi.org/10.1080/00949655.2017.1351562
Artigo de periodico
The generalized odd log-logistic family of distributions: properties, regression models and applications (2017)
Cordeiro, Gauss Moutinho; Alizadeh, Morad; Ozel, Gamze; Hosseini, Bistoon; Ortega, Edwin Moises Marcos; Altun, Emrah
Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORDEIRO, Gauss Moutinho et al. The generalized odd log-logistic family of distributions: properties, regression models and applications. Journal of Statistical Computation and Simulation, v. 87, n. 5, p. 908-932, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2016.1238088. Acesso em: 29 nov. 2025.
APA
Cordeiro, G. M., Alizadeh, M., Ozel, G., Hosseini, B., Ortega, E. M. M., & Altun, E. (2017). The generalized odd log-logistic family of distributions: properties, regression models and applications. Journal of Statistical Computation and Simulation, 87( 5), 908-932. doi:10.1080/00949655.2016.1238088
NLM
Cordeiro GM, Alizadeh M, Ozel G, Hosseini B, Ortega EMM, Altun E. The generalized odd log-logistic family of distributions: properties, regression models and applications [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 5): 908-932.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2016.1238088
Vancouver
Cordeiro GM, Alizadeh M, Ozel G, Hosseini B, Ortega EMM, Altun E. The generalized odd log-logistic family of distributions: properties, regression models and applications [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 5): 908-932.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2016.1238088
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
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: 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: 29 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. 29 ] 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. 29 ] Available from: https://doi.org/10.1080/00949655.2017.1306860
Artigo de periodico
The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis (2016)
Cruz, José Nilton da ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M
Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CRUZ, José Nilton da e ORTEGA, Edwin Moises Marcos e CORDEIRO, Gauss M. The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis. Journal of Statistical Computation and Simulation, v. 86, n. 8, p. 1516-1538-, 2016Tradução . . Disponível em: https://doi.org/10.1080/00949655.2015.1071376. Acesso em: 29 nov. 2025.
APA
Cruz, J. N. da, Ortega, E. M. M., & Cordeiro, G. M. (2016). The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis. Journal of Statistical Computation and Simulation, 86( 8), 1516-1538-. doi:10.1080/00949655.2015.1071376
NLM
Cruz JN da, Ortega EMM, Cordeiro GM. The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 8): 1516-1538-.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2015.1071376
Vancouver
Cruz JN da, Ortega EMM, Cordeiro GM. The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 8): 1516-1538-.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2015.1071376
Artigo de periodico
A bimodal flexible distribution for lifetime data (2016)
Ramires, Thiago G ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M; Hens, Niel
Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Subjects: BIOESTATÍSTICA, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMIRES, Thiago G et al. A bimodal flexible distribution for lifetime data. Journal of Statistical Computation and Simulation, v. 86, n. 12, p. 2450–2470, 2016Tradução . . Disponível em: https://doi.org/10.1080/00949655.2015.1115047. Acesso em: 29 nov. 2025.
APA
Ramires, T. G., Ortega, E. M. M., Cordeiro, G. M., & Hens, N. (2016). A bimodal flexible distribution for lifetime data. Journal of Statistical Computation and Simulation, 86( 12), 2450–2470. doi:10.1080/00949655.2015.1115047
NLM
Ramires TG, Ortega EMM, Cordeiro GM, Hens N. A bimodal flexible distribution for lifetime data [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 12): 2450–2470.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2015.1115047
Vancouver
Ramires TG, Ortega EMM, Cordeiro GM, Hens N. A bimodal flexible distribution for lifetime data [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 12): 2450–2470.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2015.1115047
Artigo de periodico
A New lifetime model for multivariate survival data with a surviving fraction (2016)
Cancho, Vicente Garibay ; Louzada, Francisco ; Dey, Dipak K.; Barriga, Gladys D. C
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, 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
CANCHO, Vicente Garibay et al. A New lifetime model for multivariate survival data with a surviving fraction. Journal of Statistical Computation and Simulation, v. 86, n. 2, p. 279-292, 2016Tradução . . Disponível em: https://doi.org/10.1080/00949655.2015.1007983. Acesso em: 29 nov. 2025.
APA
Cancho, V. G., Louzada, F., Dey, D. K., & Barriga, G. D. C. (2016). A New lifetime model for multivariate survival data with a surviving fraction. Journal of Statistical Computation and Simulation, 86( 2), 279-292. doi:10.1080/00949655.2015.1007983
NLM
Cancho VG, Louzada F, Dey DK, Barriga GDC. A New lifetime model for multivariate survival data with a surviving fraction [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 2): 279-292.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2015.1007983
Vancouver
Cancho VG, Louzada F, Dey DK, Barriga GDC. A New lifetime model for multivariate survival data with a surviving fraction [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 2): 279-292.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2015.1007983
Artigo de periodico
The gamma-Lomax distribution (2015)
Cordeiro, Gauss M; Ortega, Edwin M. M ; Popović, Božidar V
Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORDEIRO, Gauss M e ORTEGA, Edwin M. M e POPOVIĆ, Božidar V. The gamma-Lomax distribution. Journal of Statistical Computation and Simulation, v. 85, n. 2, p. 305-319, 2015Tradução . . Disponível em: https://doi.org/10.1080/00949655.2013.822869. Acesso em: 29 nov. 2025.
APA
Cordeiro, G. M., Ortega, E. M. M., & Popović, B. V. (2015). The gamma-Lomax distribution. Journal of Statistical Computation and Simulation, 85( 2), 305-319. doi:10.1080/00949655.2013.822869
NLM
Cordeiro GM, Ortega EMM, Popović BV. The gamma-Lomax distribution [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 2): 305-319.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2013.822869
Vancouver
Cordeiro GM, Ortega EMM, Popović BV. The gamma-Lomax distribution [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 2): 305-319.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1080/00949655.2013.822869

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