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Filtros : "Journal of Statistical Computation and Simulation" "ICMC" Removido: "Indexado no Web of Science" Limpar

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  • 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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      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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1080/00949655.2019.1593984

  • Artigo de periodico

    Efficient closed-form maximum a posteriori estimators for the gamma distribution (2018)

    Louzada, Francisco ; Ramos, Pedro Luiz

    Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA

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      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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1080/00949655.2017.1422503

  • 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

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      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: 19 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. 19 ] 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. 19 ] 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

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      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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1080/00949655.2018.1452925

  • 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

    Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: 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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1080/00949655.2017.1289529

  • 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

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      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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1080/00949655.2017.1344239

  • 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

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      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: 19 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. 19 ] 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. 19 ] 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

    Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, PROBABILIDADE, ANÁLISE DE SOBREVIVÊNCIA

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    • 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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1080/00949655.2017.1306860

  • 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

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    • 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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1080/00949655.2015.1007983

  • 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

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      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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2014.943223

  • Artigo de periodico

    The complementaryWeibull geometric distribution (2014)

    Tojeiro, Cynthia A. V; Louzada, Francisco ; Roman, Mari; Borges, Patrick

    Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), ESTATÍSTICA APLICADA

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      TOJEIRO, Cynthia A. V et al. The complementaryWeibull 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. A. V., Louzada, F., Roman, M., & Borges, P. (2014). The complementaryWeibull geometric distribution. Journal of Statistical Computation and Simulation, 84( 6), 1345-1362. doi:10.1080/00949655.2012.744406

    • NLM

      Tojeiro CAV, Louzada F, Roman M, Borges P. The complementaryWeibull 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 CAV, Louzada F, Roman M, Borges P. The complementaryWeibull 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

  • 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

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    • 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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2010.491827
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