Filtros : "Journal of Statistical Computation and Simulation" "ICMC" Removidos: "Heriot-Watt University (HWU)" "Austrália" "Financiado pela FINEP" Limpar

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

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, SISTEMA IMUNE, NEOPLASIAS COLORRETAIS, FATORES DE RISCO

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      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: 14 nov. 2024.
    • 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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2024.2368887
  • Source: Journal of Statistical Computation and Simulation. Unidades: ICMC, INTER: ICMC -UFSCAR

    Subjects: DADOS CENSURADOS, ANÁLISE DE SOBREVIVÊNCIA, SIMULAÇÃO, DISTRIBUIÇÕES (PROBABILIDADE)

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      RAMOS, Pedro Luiz et al. Sampling with censored data: a practical guide. Journal of Statistical Computation and Simulation, 2024Tradução . . Disponível em: https://doi.org/10.1080/00949655.2024.2409379. Acesso em: 14 nov. 2024.
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      Ramos, P. L., Guzman, D. C. F., Mota, A. L., Saavedra, D., Rodrigues, F. A., & Louzada, F. (2024). Sampling with censored data: a practical guide. Journal of Statistical Computation and Simulation. doi:0.1080/00949655.2024.2409379
    • NLM

      Ramos PL, Guzman DCF, Mota AL, Saavedra D, Rodrigues FA, Louzada F. Sampling with censored data: a practical guide [Internet]. Journal of Statistical Computation and Simulation. 2024 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2024.2409379
    • Vancouver

      Ramos PL, Guzman DCF, Mota AL, Saavedra D, Rodrigues FA, Louzada F. Sampling with censored data: a practical guide [Internet]. Journal of Statistical Computation and Simulation. 2024 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2024.2409379
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: ESTATÍSTICA APLICADA, TEORIA DA CONFIABILIDADE, RISCO

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      GONZATTO JUNIOR, Oilson Alberto et al. Frailty model for multiple repairable systems hierarchically represented subject to competing risks. Journal of Statistical Computation and Simulation, v. 94, n. 15, p. 3271-3291, 2024Tradução . . Disponível em: https://doi.org/10.1080/00949655.2024.2381515. Acesso em: 14 nov. 2024.
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      Gonzatto Junior, O. A., Fernandes, W. R., Ramos, P. L., Tomazella, V. L. D., & Louzada, F. (2024). Frailty model for multiple repairable systems hierarchically represented subject to competing risks. Journal of Statistical Computation and Simulation, 94( 15), 3271-3291. doi:10.1080/00949655.2024.2381515
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      Gonzatto Junior OA, Fernandes WR, Ramos PL, Tomazella VLD, Louzada F. Frailty model for multiple repairable systems hierarchically represented subject to competing risks [Internet]. Journal of Statistical Computation and Simulation. 2024 ; 94( 15): 3271-3291.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2024.2381515
    • Vancouver

      Gonzatto Junior OA, Fernandes WR, Ramos PL, Tomazella VLD, Louzada F. Frailty model for multiple repairable systems hierarchically represented subject to competing risks [Internet]. Journal of Statistical Computation and Simulation. 2024 ; 94( 15): 3271-3291.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2024.2381515
  • Source: Journal of Statistical Computation and Simulation. Unidades: ICMC, INTER: ICMC -UFSCAR

    Subjects: INFERÊNCIA BAYESIANA, SIMULAÇÃO, ENSAIO CLÍNICO

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      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: 14 nov. 2024.
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      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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2021.1981325
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, VEROSSIMILHANÇA, INFERÊNCIA BAYESIANA

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      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: 14 nov. 2024.
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      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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2020.1830991
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: PROCESSOS DE POISSON, SIMULAÇÃO (ESTATÍSTICA), ANÁLISE DE DADOS

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      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: 14 nov. 2024.
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      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
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      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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2021.1898612
  • 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: 14 nov. 2024.
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      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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2019.1593984
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: CLUSTERS, ALGORITMOS ÚTEIS E ESPECÍFICOS, DISTRIBUIÇÕES (PROBABILIDADE)

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      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: 14 nov. 2024.
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      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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2019.1643345
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: INFERÊNCIA PARAMÉTRICA, INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO, VEROSSIMILHANÇA, TESTES DE HIPÓTESES

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      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: 14 nov. 2024.
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      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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2018.1554660
  • Source: Journal of Statistical Computation and Simulation. Unidades: ESALQ, ICMC

    Subjects: INFERÊNCIA ESTATÍSTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      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: 14 nov. 2024.
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      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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: DADOS DE CONTAGEM, TESTES DE HIPÓTESES, DISTRIBUIÇÃO DE POISSON, VEROSSIMILHANÇA, MÉTODO DE MONTE CARLO

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      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: 14 nov. 2024.
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      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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2019.1572144
  • 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: 14 nov. 2024.
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      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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2017.1422503
  • 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: 14 nov. 2024.
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      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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2018.1451850
  • 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: 14 nov. 2024.
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      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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2018.1452925
  • 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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      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: 14 nov. 2024.
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      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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2017.1289529
  • 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: 14 nov. 2024.
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      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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2017.1344239
  • 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: 14 nov. 2024.
    • 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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2017.1327589
  • 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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      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: 14 nov. 2024.
    • 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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2017.1306860
  • 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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      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: 14 nov. 2024.
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      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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2015.1007983
  • 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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    • 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: 14 nov. 2024.
    • 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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1080/00949655.2014.943223

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