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  • Source: Communications in Statistics - Theory and Methods. Unidades: ICMC, INTER: ICMC -UFSCAR

    Subjects: DISTRIBUIÇÃO ELÍPTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA BAYESIANA

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      RODRIGUES, Josemar et al. Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals. Communications in Statistics - Theory and Methods, v. 52, n. 3, p. 918-938, 2023Tradução . . Disponível em: https://doi.org/10.1080/03610926.2021.1933531. Acesso em: 30 abr. 2024.
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      Rodrigues, J., Benites, Y. R., Cancho, V. G., Balakrishnan, N., & Suzuki, A. K. (2023). Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals. Communications in Statistics - Theory and Methods, 52( 3), 918-938. doi:10.1080/03610926.2021.1933531
    • NLM

      Rodrigues J, Benites YR, Cancho VG, Balakrishnan N, Suzuki AK. Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals [Internet]. Communications in Statistics - Theory and Methods. 2023 ; 52( 3): 918-938.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2021.1933531
    • Vancouver

      Rodrigues J, Benites YR, Cancho VG, Balakrishnan N, Suzuki AK. Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals [Internet]. Communications in Statistics - Theory and Methods. 2023 ; 52( 3): 918-938.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2021.1933531
  • Source: Communications in Statistics - Theory and Methods. Unidades: ICMC, INTER: ICMC -UFSCAR

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, FATORES DE RISCO, HIV

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      VASQUEZ, Jonathan Kevin Jordan e RODRIGUES, Josemar e BALAKRISHNAN, Narayanaswamy. A useful variance decomposition for destructive Waring regression cure model with an application to HIV data. Communications in Statistics - Theory and Methods, v. 51, n. 20, p. 6978-6989, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610926.2020.1869782. Acesso em: 30 abr. 2024.
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      Vasquez, J. K. J., Rodrigues, J., & Balakrishnan, N. (2022). A useful variance decomposition for destructive Waring regression cure model with an application to HIV data. Communications in Statistics - Theory and Methods, 51( 20), 6978-6989. doi:10.1080/03610926.2020.1869782
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      Vasquez JKJ, Rodrigues J, Balakrishnan N. A useful variance decomposition for destructive Waring regression cure model with an application to HIV data [Internet]. Communications in Statistics - Theory and Methods. 2022 ; 51( 20): 6978-6989.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2020.1869782
    • Vancouver

      Vasquez JKJ, Rodrigues J, Balakrishnan N. A useful variance decomposition for destructive Waring regression cure model with an application to HIV data [Internet]. Communications in Statistics - Theory and Methods. 2022 ; 51( 20): 6978-6989.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2020.1869782
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: MÉTODOS DE REAMOSTRAGEM, DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE MULTIVARIADA, DADOS QUALITATIVOS

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      FERREIRA, Paulo Henrique e LOUZADA, Francisco. Extending the inference function for augmented margins method to implement trivariate Clayton copula-based SUR Tobit models. Communications in Statistics - Theory and Methods, v. 49, n. 6, p. 1375-1401, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610926.2018.1563167. Acesso em: 30 abr. 2024.
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      Ferreira, P. H., & Louzada, F. (2020). Extending the inference function for augmented margins method to implement trivariate Clayton copula-based SUR Tobit models. Communications in Statistics - Theory and Methods, 49( 6), 1375-1401. doi:10.1080/03610926.2018.1563167
    • NLM

      Ferreira PH, Louzada F. Extending the inference function for augmented margins method to implement trivariate Clayton copula-based SUR Tobit models [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 6): 1375-1401.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2018.1563167
    • Vancouver

      Ferreira PH, Louzada F. Extending the inference function for augmented margins method to implement trivariate Clayton copula-based SUR Tobit models [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 6): 1375-1401.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2018.1563167
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, DISTRIBUIÇÕES (PROBABILIDADE), DISTRIBUIÇÃO LOGÍSTICA, GEOMETRIA E MODELAGEM COMPUTACIONAL, MATEMÁTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ANÁLISE MULTIVARIADA, REGRESSÃO LOGÍSTICA

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      RODRIGUES, Josemar e BAZÁN GUZMÁN, Jorge Luis e SUZUKI, Adriano Kamimura. A flexible procedure for formulating probability distributions on the unit interval with applications. Communications in Statistics - Theory and Methods, v. 49, n. 3, p. 738-754, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610926.2018.1549254. Acesso em: 30 abr. 2024.
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      Rodrigues, J., Bazán Guzmán, J. L., & Suzuki, A. K. (2020). A flexible procedure for formulating probability distributions on the unit interval with applications. Communications in Statistics - Theory and Methods, 49( 3), 738-754. doi:10.1080/03610926.2018.1549254
    • NLM

      Rodrigues J, Bazán Guzmán JL, Suzuki AK. A flexible procedure for formulating probability distributions on the unit interval with applications [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 3): 738-754.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2018.1549254
    • Vancouver

      Rodrigues J, Bazán Guzmán JL, Suzuki AK. A flexible procedure for formulating probability distributions on the unit interval with applications [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 3): 738-754.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2018.1549254
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: PROBABILIDADE, ANÁLISE DE SÉRIES TEMPORAIS, OPERADORES

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      RODRIGUES, Josemar et al. Fractional approaches for the distribution of innovation sequence of INAR(1) processes. Communications in Statistics - Theory and Methods, v. 49, n. 9, p. 2205-2216, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610926.2019.1568492. Acesso em: 30 abr. 2024.
    • APA

      Rodrigues, J., Bourguignon, M., Santos-Neto, M., & Balakrishnan, N. (2020). Fractional approaches for the distribution of innovation sequence of INAR(1) processes. Communications in Statistics - Theory and Methods, 49( 9), 2205-2216. doi:10.1080/03610926.2019.1568492
    • NLM

      Rodrigues J, Bourguignon M, Santos-Neto M, Balakrishnan N. Fractional approaches for the distribution of innovation sequence of INAR(1) processes [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 9): 2205-2216.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2019.1568492
    • Vancouver

      Rodrigues J, Bourguignon M, Santos-Neto M, Balakrishnan N. Fractional approaches for the distribution of innovation sequence of INAR(1) processes [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 9): 2205-2216.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2019.1568492
  • Source: Communications in Statistics - Theory and Methods. Unidades: ESALQ, ICMC

    Subjects: CURA, SIMULAÇÃO, DISTRIBUIÇÃO LOGÍSTICA

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      PESCIM, Rodrigo R. et al. A new destructive Poisson odd log-logistic generalized half-normal cure rate model. Communications in Statistics - Theory and Methods, v. 48, n. 9, p. 2113-2128, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610926.2018.1459709. Acesso em: 30 abr. 2024.
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      Pescim, R. R., Ortega, E. M. M., Suzuki, A. K., Cancho, V. G., & Cordeiro, G. M. (2019). A new destructive Poisson odd log-logistic generalized half-normal cure rate model. Communications in Statistics - Theory and Methods, 48( 9), 2113-2128. doi:10.1080/03610926.2018.1459709
    • NLM

      Pescim RR, Ortega EMM, Suzuki AK, Cancho VG, Cordeiro GM. A new destructive Poisson odd log-logistic generalized half-normal cure rate model [Internet]. Communications in Statistics - Theory and Methods. 2019 ; 48( 9): 2113-2128.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2018.1459709
    • Vancouver

      Pescim RR, Ortega EMM, Suzuki AK, Cancho VG, Cordeiro GM. A new destructive Poisson odd log-logistic generalized half-normal cure rate model [Internet]. Communications in Statistics - Theory and Methods. 2019 ; 48( 9): 2113-2128.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2018.1459709
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, DADOS CENSURADOS, ANÁLISE DE SOBREVIVÊNCIA

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      LOUZADA, Francisco e MARCHI, Vitor A. A. A log-location-scale lifetime distribution with censored data: Regression modeling, residuals, and global influence. Communications in Statistics - Theory and Methods, v. Fe 2018, n. 11, p. 2549-2562, 2018Tradução . . Disponível em: https://doi.org/10.1080/03610926.2015.1021016. Acesso em: 30 abr. 2024.
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      Louzada, F., & Marchi, V. A. A. (2018). A log-location-scale lifetime distribution with censored data: Regression modeling, residuals, and global influence. Communications in Statistics - Theory and Methods, Fe 2018( 11), 2549-2562. doi:10.1080/03610926.2015.1021016
    • NLM

      Louzada F, Marchi VAA. A log-location-scale lifetime distribution with censored data: Regression modeling, residuals, and global influence [Internet]. Communications in Statistics - Theory and Methods. 2018 ; Fe 2018( 11): 2549-2562.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2015.1021016
    • Vancouver

      Louzada F, Marchi VAA. A log-location-scale lifetime distribution with censored data: Regression modeling, residuals, and global influence [Internet]. Communications in Statistics - Theory and Methods. 2018 ; Fe 2018( 11): 2549-2562.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2015.1021016
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

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

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      CANCHO, Vicente Garibay et al. Estimation and influence diagnostics for zero-inflated hyper-Poisson regression model: full Bayesian analysis. Communications in Statistics - Theory and Methods, v. 47, n. Ju 2018, p. 2741-2759, 2018Tradução . . Disponível em: https://doi.org/10.1080/03610926.2017.1342839. Acesso em: 30 abr. 2024.
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      Cancho, V. G., Yiqi, B., Fiorucci, J. A., Barriga, G. D. C., & Dey, D. K. (2018). Estimation and influence diagnostics for zero-inflated hyper-Poisson regression model: full Bayesian analysis. Communications in Statistics - Theory and Methods, 47( Ju 2018), 2741-2759. doi:10.1080/03610926.2017.1342839
    • NLM

      Cancho VG, Yiqi B, Fiorucci JA, Barriga GDC, Dey DK. Estimation and influence diagnostics for zero-inflated hyper-Poisson regression model: full Bayesian analysis [Internet]. Communications in Statistics - Theory and Methods. 2018 ; 47( Ju 2018): 2741-2759.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2017.1342839
    • Vancouver

      Cancho VG, Yiqi B, Fiorucci JA, Barriga GDC, Dey DK. Estimation and influence diagnostics for zero-inflated hyper-Poisson regression model: full Bayesian analysis [Internet]. Communications in Statistics - Theory and Methods. 2018 ; 47( Ju 2018): 2741-2759.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2017.1342839
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: SISTEMA FINANCEIRO, ANÁLISE DE RISCO, CRÉDITO, PORTFÓLIOS, ANÁLISE DE SOBREVIVÊNCIA, INFLAÇÃO, DISTRIBUIÇÕES (PROBABILIDADE)

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      LOUZADA, Francisco e MOREIRA, Fernando F. e OLIVEIRA, Mauro Ribeiro de. A zero-inflated non default rate regression model for credit scoring data. Communications in Statistics - Theory and Methods, v. 47, n. 12, p. 3002-3021 , 2018Tradução . . Disponível em: https://doi.org/10.1080/03610926.2017.1346803. Acesso em: 30 abr. 2024.
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      Louzada, F., Moreira, F. F., & Oliveira, M. R. de. (2018). A zero-inflated non default rate regression model for credit scoring data. Communications in Statistics - Theory and Methods, 47( 12), 3002-3021 . doi:10.1080/03610926.2017.1346803
    • NLM

      Louzada F, Moreira FF, Oliveira MR de. A zero-inflated non default rate regression model for credit scoring data [Internet]. Communications in Statistics - Theory and Methods. 2018 ; 47( 12): 3002-3021 .[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2017.1346803
    • Vancouver

      Louzada F, Moreira FF, Oliveira MR de. A zero-inflated non default rate regression model for credit scoring data [Internet]. Communications in Statistics - Theory and Methods. 2018 ; 47( 12): 3002-3021 .[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2017.1346803
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      CALSAVARA, Vinicius Fernando et al. Frailty models power variance function with cure fraction and latent risk factors negative binomial. Communications in Statistics - Theory and Methods, v. 46, n. Ju 2017, p. 9763-9776, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610926.2016.1218029. Acesso em: 30 abr. 2024.
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      Calsavara, V. F., Rodrigues, A. S., Tomazella, V. L. D., & Castro, M. de. (2017). Frailty models power variance function with cure fraction and latent risk factors negative binomial. Communications in Statistics - Theory and Methods, 46( Ju 2017), 9763-9776. doi:10.1080/03610926.2016.1218029
    • NLM

      Calsavara VF, Rodrigues AS, Tomazella VLD, Castro M de. Frailty models power variance function with cure fraction and latent risk factors negative binomial [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46( Ju 2017): 9763-9776.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2016.1218029
    • Vancouver

      Calsavara VF, Rodrigues AS, Tomazella VLD, Castro M de. Frailty models power variance function with cure fraction and latent risk factors negative binomial [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46( Ju 2017): 9763-9776.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2016.1218029
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, PROBABILIDADE

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      CONCEIÇÃO, Katiane Silva et al. Biparametric zero-modified power series distributions: Bayesian analysis under a reference prior approach. Communications in Statistics - Theory and Methods, v. 46, p. 10507-10517, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610926.2016.1236960. Acesso em: 30 abr. 2024.
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      Conceição, K. S., Tomazella, V. L. D., Andrade, M. G. de, & Louzada, F. (2017). Biparametric zero-modified power series distributions: Bayesian analysis under a reference prior approach. Communications in Statistics - Theory and Methods, 46, 10507-10517. doi:10.1080/03610926.2016.1236960
    • NLM

      Conceição KS, Tomazella VLD, Andrade MG de, Louzada F. Biparametric zero-modified power series distributions: Bayesian analysis under a reference prior approach [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46 10507-10517.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2016.1236960
    • Vancouver

      Conceição KS, Tomazella VLD, Andrade MG de, Louzada F. Biparametric zero-modified power series distributions: Bayesian analysis under a reference prior approach [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46 10507-10517.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2016.1236960
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      LOUZADA, Francisco e ARA, Anderson e FERNANDES, Guilherme. The bivariate alpha-skew-normal distribution. Communications in Statistics - Theory and Methods, v. 46, n. 14, p. 7147-7156, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610926.2015.1024865. Acesso em: 30 abr. 2024.
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      Louzada, F., Ara, A., & Fernandes, G. (2017). The bivariate alpha-skew-normal distribution. Communications in Statistics - Theory and Methods, 46( 14), 7147-7156. doi:10.1080/03610926.2015.1024865
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      Louzada F, Ara A, Fernandes G. The bivariate alpha-skew-normal distribution [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46( 14): 7147-7156.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2015.1024865
    • Vancouver

      Louzada F, Ara A, Fernandes G. The bivariate alpha-skew-normal distribution [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46( 14): 7147-7156.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2015.1024865
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      YIQI, Bao e CANCHO, Vicente Garibay e LOUZADA, Francisco. On the Bayesian estimation and influence diagnostics for the Weibull-Negative-Binomial regression model with cure rate under latent failure causes. Communications in Statistics - Theory and Methods, v. 46, n. 3, p. 1462-1489, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610926.2015.1019150. Acesso em: 30 abr. 2024.
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      Yiqi, B., Cancho, V. G., & Louzada, F. (2017). On the Bayesian estimation and influence diagnostics for the Weibull-Negative-Binomial regression model with cure rate under latent failure causes. Communications in Statistics - Theory and Methods, 46( 3), 1462-1489. doi:10.1080/03610926.2015.1019150
    • NLM

      Yiqi B, Cancho VG, Louzada F. On the Bayesian estimation and influence diagnostics for the Weibull-Negative-Binomial regression model with cure rate under latent failure causes [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46( 3): 1462-1489.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2015.1019150
    • Vancouver

      Yiqi B, Cancho VG, Louzada F. On the Bayesian estimation and influence diagnostics for the Weibull-Negative-Binomial regression model with cure rate under latent failure causes [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46( 3): 1462-1489.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2015.1019150
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, PROBABILIDADE

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      RODRIGUES, Josemar et al. A unified class of compound lifetime distributions. Communications in Statistics - Theory and Methods, v. 25, n. 8, p. 2323-2331, 2016Tradução . . Disponível em: https://doi.org/10.1080/03610926.2014.881491. Acesso em: 30 abr. 2024.
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      Rodrigues, J., Cordeiro, G. M., Castro, M. de, & Nadarajah, S. (2016). A unified class of compound lifetime distributions. Communications in Statistics - Theory and Methods, 25( 8), 2323-2331. doi:10.1080/03610926.2014.881491
    • NLM

      Rodrigues J, Cordeiro GM, Castro M de, Nadarajah S. A unified class of compound lifetime distributions [Internet]. Communications in Statistics - Theory and Methods. 2016 ; 25( 8): 2323-2331.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2014.881491
    • Vancouver

      Rodrigues J, Cordeiro GM, Castro M de, Nadarajah S. A unified class of compound lifetime distributions [Internet]. Communications in Statistics - Theory and Methods. 2016 ; 25( 8): 2323-2331.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2014.881491
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      FIORUCI, José Augusto et al. The exponential Poisson logarithmic distribution. Communications in Statistics - Theory and Methods, v. 45, n. 9, p. 2556-2575, 2016Tradução . . Disponível em: https://doi.org/10.1080/03610926.2014.887106. Acesso em: 30 abr. 2024.
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      Fioruci, J. A., Yiqi, B., Louzada, F., & Cancho, V. G. (2016). The exponential Poisson logarithmic distribution. Communications in Statistics - Theory and Methods, 45( 9), 2556-2575. doi:10.1080/03610926.2014.887106
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      Fioruci JA, Yiqi B, Louzada F, Cancho VG. The exponential Poisson logarithmic distribution [Internet]. Communications in Statistics - Theory and Methods. 2016 ; 45( 9): 2556-2575.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2014.887106
    • Vancouver

      Fioruci JA, Yiqi B, Louzada F, Cancho VG. The exponential Poisson logarithmic distribution [Internet]. Communications in Statistics - Theory and Methods. 2016 ; 45( 9): 2556-2575.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2014.887106
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      GRANZOTTO, Daniele Cristina Tita e LOUZADA, Francisco. The transmuted log-logistic distribution: modeling, inference and application to a polled tabapua race time up to first calving data. Communications in Statistics - Theory and Methods, v. 44, n. 16, p. 3387-3402, 2015Tradução . . Disponível em: https://doi.org/10.1080/03610926.2013.775307. Acesso em: 30 abr. 2024.
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      Granzotto, D. C. T., & Louzada, F. (2015). The transmuted log-logistic distribution: modeling, inference and application to a polled tabapua race time up to first calving data. Communications in Statistics - Theory and Methods, 44( 16), 3387-3402. doi:10.1080/03610926.2013.775307
    • NLM

      Granzotto DCT, Louzada F. The transmuted log-logistic distribution: modeling, inference and application to a polled tabapua race time up to first calving data [Internet]. Communications in Statistics - Theory and Methods. 2015 ; 44( 16): 3387-3402.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2013.775307
    • Vancouver

      Granzotto DCT, Louzada F. The transmuted log-logistic distribution: modeling, inference and application to a polled tabapua race time up to first calving data [Internet]. Communications in Statistics - Theory and Methods. 2015 ; 44( 16): 3387-3402.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2013.775307
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      LOUZADA, Francisco e SUZUKI, Adriano Kamimura e CANCHO, Vicente Garibay. The FGM long-term bivariate survival copula model: modeling, bayesian estimation, and case influence diagnostics. Communications in Statistics - Theory and Methods, v. 42, n. 4, p. 673-691, 2013Tradução . . Disponível em: https://doi.org/10.1080/03610926.2012.725147. Acesso em: 30 abr. 2024.
    • APA

      Louzada, F., Suzuki, A. K., & Cancho, V. G. (2013). The FGM long-term bivariate survival copula model: modeling, bayesian estimation, and case influence diagnostics. Communications in Statistics - Theory and Methods, 42( 4), 673-691. doi:10.1080/03610926.2012.725147
    • NLM

      Louzada F, Suzuki AK, Cancho VG. The FGM long-term bivariate survival copula model: modeling, bayesian estimation, and case influence diagnostics [Internet]. Communications in Statistics - Theory and Methods. 2013 ; 42( 4): 673-691.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2012.725147
    • Vancouver

      Louzada F, Suzuki AK, Cancho VG. The FGM long-term bivariate survival copula model: modeling, bayesian estimation, and case influence diagnostics [Internet]. Communications in Statistics - Theory and Methods. 2013 ; 42( 4): 673-691.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2012.725147
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: ESTATÍSTICA APLICADA, REGRESSÃO LINEAR

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      GALEA, Manuel e CASTRO, Mário de. Influence assessment in an heteroscedastic errors-in-variables model. Communications in Statistics - Theory and Methods, v. 41, n. 8, p. 1350-1363, 2012Tradução . . Disponível em: https://doi.org/10.1080/03610926.2010.543301. Acesso em: 30 abr. 2024.
    • APA

      Galea, M., & Castro, M. de. (2012). Influence assessment in an heteroscedastic errors-in-variables model. Communications in Statistics - Theory and Methods, 41( 8), 1350-1363. doi:10.1080/03610926.2010.543301
    • NLM

      Galea M, Castro M de. Influence assessment in an heteroscedastic errors-in-variables model [Internet]. Communications in Statistics - Theory and Methods. 2012 ; 41( 8): 1350-1363.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2010.543301
    • Vancouver

      Galea M, Castro M de. Influence assessment in an heteroscedastic errors-in-variables model [Internet]. Communications in Statistics - Theory and Methods. 2012 ; 41( 8): 1350-1363.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1080/03610926.2010.543301

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