Filtros : "Bolfarine, Heleno" "Inglaterra" Removido: "1942" Limpar

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  • Source: Journal of Applied Statistics. Unidade: IME

    Subjects: INFERÊNCIA ESTATÍSTICA, ESTATÍSTICA APLICADA, MELANOMA

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      GALLARDO MATELUNA, Diego Ignacio e GÓMEZ, Héctor W e BOLFARINE, Heleno. A new cure rate model based on the Yule–Simon distribution with application to a melanoma data set. Journal of Applied Statistics, v. 44, n. 7, p. 1153-1164, 2017Tradução . . Disponível em: https://doi.org/10.1080/02664763.2016.1194385. Acesso em: 10 jun. 2024.
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      Gallardo Mateluna, D. I., Gómez, H. W., & Bolfarine, H. (2017). A new cure rate model based on the Yule–Simon distribution with application to a melanoma data set. Journal of Applied Statistics, 44( 7), 1153-1164. doi:10.1080/02664763.2016.1194385
    • NLM

      Gallardo Mateluna DI, Gómez HW, Bolfarine H. A new cure rate model based on the Yule–Simon distribution with application to a melanoma data set [Internet]. Journal of Applied Statistics. 2017 ; 44( 7): 1153-1164.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02664763.2016.1194385
    • Vancouver

      Gallardo Mateluna DI, Gómez HW, Bolfarine H. A new cure rate model based on the Yule–Simon distribution with application to a melanoma data set [Internet]. Journal of Applied Statistics. 2017 ; 44( 7): 1153-1164.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02664763.2016.1194385
  • Source: Journal of Applied Statistics. Unidade: IME

    Subjects: INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA

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      RONDON, Luz Marina e BOLFARINE, Heleno. Bayesian analysis of generalized elliptical semi-parametric models. Journal of Applied Statistics, v. 43, n. 8, p. 1508–1524, 2016Tradução . . Disponível em: https://doi.org/10.1080/02664763.2015.1109070. Acesso em: 10 jun. 2024.
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      Rondon, L. M., & Bolfarine, H. (2016). Bayesian analysis of generalized elliptical semi-parametric models. Journal of Applied Statistics, 43( 8), 1508–1524. doi:10.1080/02664763.2015.1109070
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      Rondon LM, Bolfarine H. Bayesian analysis of generalized elliptical semi-parametric models [Internet]. Journal of Applied Statistics. 2016 ; 43( 8): 1508–1524.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02664763.2015.1109070
    • Vancouver

      Rondon LM, Bolfarine H. Bayesian analysis of generalized elliptical semi-parametric models [Internet]. Journal of Applied Statistics. 2016 ; 43( 8): 1508–1524.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02664763.2015.1109070
  • Source: Journal of Statistical Computation and Simulation. Unidade: IME

    Subjects: INFERÊNCIA PARAMÉTRICA, MÉTODOS PROBABILÍSTICOS, ANÁLISE NUMÉRICA, MÉTODOS GRÁFICOS

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      ANDRADE, B. B de e BOLFARINE, Heleno e SIROKY, A. N. Random number generation and estimation with the bimodal asymmetric power-normal distribution. Journal of Statistical Computation and Simulation, v. 86, n. 3, p. 460-476, 2016Tradução . . Disponível em: https://doi.org/10.1080/00949655.2015.1016434. Acesso em: 10 jun. 2024.
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      Andrade, B. B. de, Bolfarine, H., & Siroky, A. N. (2016). Random number generation and estimation with the bimodal asymmetric power-normal distribution. Journal of Statistical Computation and Simulation, 86( 3), 460-476. doi:10.1080/00949655.2015.1016434
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      Andrade BB de, Bolfarine H, Siroky AN. Random number generation and estimation with the bimodal asymmetric power-normal distribution [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 3): 460-476.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/00949655.2015.1016434
    • Vancouver

      Andrade BB de, Bolfarine H, Siroky AN. Random number generation and estimation with the bimodal asymmetric power-normal distribution [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 3): 460-476.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/00949655.2015.1016434
  • Source: Journal of Statistical Computation and Simulation. Unidade: IME

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, ROBUSTEZ, DISTRIBUIÇÃO DE POISSON, MELANOMA

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      GALLARDO MATELUNA, Diego Ignacio e BOLFARINE, Heleno e LIMA, Antonio Carlos Pedroso de. An EM algorithm for estimating the destructive weighted Poisson cure rate model. Journal of Statistical Computation and Simulation, v. 86, n. 8, p. 1497-1515, 2016Tradução . . Disponível em: https://doi.org/10.1080/00949655.2015.1071375. Acesso em: 10 jun. 2024.
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      Gallardo Mateluna, D. I., Bolfarine, H., & Lima, A. C. P. de. (2016). An EM algorithm for estimating the destructive weighted Poisson cure rate model. Journal of Statistical Computation and Simulation, 86( 8), 1497-1515. doi:10.1080/00949655.2015.1071375
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      Gallardo Mateluna DI, Bolfarine H, Lima ACP de. An EM algorithm for estimating the destructive weighted Poisson cure rate model [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 8): 1497-1515.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/00949655.2015.1071375
    • Vancouver

      Gallardo Mateluna DI, Bolfarine H, Lima ACP de. An EM algorithm for estimating the destructive weighted Poisson cure rate model [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 8): 1497-1515.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/00949655.2015.1071375
  • Source: Journal of Applied Statistics. Unidade: IME

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

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      GARAY, Aldo M e LACHOS, Victor Hugo e BOLFARINE, Heleno. Bayesian estimation and case influence diagnostics for the zero-inflated negative binomial regression model. Journal of Applied Statistics, v. 42, n. 6, p. 1148-1165, 2015Tradução . . Disponível em: https://doi.org/10.1080/02664763.2014.995610. Acesso em: 10 jun. 2024.
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      Garay, A. M., Lachos, V. H., & Bolfarine, H. (2015). Bayesian estimation and case influence diagnostics for the zero-inflated negative binomial regression model. Journal of Applied Statistics, 42( 6), 1148-1165. doi:10.1080/02664763.2014.995610
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      Garay AM, Lachos VH, Bolfarine H. Bayesian estimation and case influence diagnostics for the zero-inflated negative binomial regression model [Internet]. Journal of Applied Statistics. 2015 ; 42( 6): 1148-1165.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02664763.2014.995610
    • Vancouver

      Garay AM, Lachos VH, Bolfarine H. Bayesian estimation and case influence diagnostics for the zero-inflated negative binomial regression model [Internet]. Journal of Applied Statistics. 2015 ; 42( 6): 1148-1165.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02664763.2014.995610
  • Source: Journal of Statistical Computation and Simulation. Unidade: IME

    Subjects: INFERÊNCIA ESTATÍSTICA, INFERÊNCIA PARAMÉTRICA

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      FERREIRA, Clécio da Silva e LACHOS, Victor Hugo e BOLFARINE, Heleno. Inference and diagnostics in skew scale mixtures of normal regression models. Journal of Statistical Computation and Simulation, v. 85, n. 3, p. 517-537, 2015Tradução . . Disponível em: https://doi.org/10.1080/00949655.2013.828057. Acesso em: 10 jun. 2024.
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      Ferreira, C. da S., Lachos, V. H., & Bolfarine, H. (2015). Inference and diagnostics in skew scale mixtures of normal regression models. Journal of Statistical Computation and Simulation, 85( 3), 517-537. doi:10.1080/00949655.2013.828057
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      Ferreira C da S, Lachos VH, Bolfarine H. Inference and diagnostics in skew scale mixtures of normal regression models [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 3): 517-537.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/00949655.2013.828057
    • Vancouver

      Ferreira C da S, Lachos VH, Bolfarine H. Inference and diagnostics in skew scale mixtures of normal regression models [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 3): 517-537.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/00949655.2013.828057
  • Source: Journal of Statistical Computation and Simulation. Unidade: IME

    Subjects: REGRESSÃO LINEAR, INFERÊNCIA BAYESIANA

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      SANTOS, Bruno e BOLFARINE, Heleno. Bayesian analysis for zero-or-one inflated proportion data using quantile regression. Journal of Statistical Computation and Simulation, v. 85, n. 17, p. 3579-3593, 2015Tradução . . Disponível em: https://doi.org/10.1080/00949655.2014.986733. Acesso em: 10 jun. 2024.
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      Santos, B., & Bolfarine, H. (2015). Bayesian analysis for zero-or-one inflated proportion data using quantile regression. Journal of Statistical Computation and Simulation, 85( 17), 3579-3593. doi:10.1080/00949655.2014.986733
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      Santos B, Bolfarine H. Bayesian analysis for zero-or-one inflated proportion data using quantile regression [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 17): 3579-3593.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/00949655.2014.986733
    • Vancouver

      Santos B, Bolfarine H. Bayesian analysis for zero-or-one inflated proportion data using quantile regression [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 17): 3579-3593.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/00949655.2014.986733
  • Source: Journal of Applied Statistics. Unidade: IME

    Assunto: INFERÊNCIA BAYESIANA

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      GARAY, Aldo M et al. Bayesian analysis of censored linear regression models with scale mixtures of normal distributions. Journal of Applied Statistics, v. 42, n. 12, p. 2694-2714, 2015Tradução . . Disponível em: https://doi.org/10.1080/02664763.2015.1048671. Acesso em: 10 jun. 2024.
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      Garay, A. M., Bolfarine, H., Lachos, V. H., & Cabral, C. R. B. (2015). Bayesian analysis of censored linear regression models with scale mixtures of normal distributions. Journal of Applied Statistics, 42( 12), 2694-2714. doi:10.1080/02664763.2015.1048671
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      Garay AM, Bolfarine H, Lachos VH, Cabral CRB. Bayesian analysis of censored linear regression models with scale mixtures of normal distributions [Internet]. Journal of Applied Statistics. 2015 ; 42( 12): 2694-2714.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02664763.2015.1048671
    • Vancouver

      Garay AM, Bolfarine H, Lachos VH, Cabral CRB. Bayesian analysis of censored linear regression models with scale mixtures of normal distributions [Internet]. Journal of Applied Statistics. 2015 ; 42( 12): 2694-2714.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02664763.2015.1048671
  • Source: Statistics: A Journal of Theoretical and Applied Statistics. Unidade: IME

    Subjects: ESTATÍSTICA, INFERÊNCIA PARAMÉTRICA

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      MARTÍNEZ-FLÓREZ, Guillermo e BOLFARINE, Heleno e GÓMEZ, Héctor W. Skew-normal alpha-power model. Statistics: A Journal of Theoretical and Applied Statistics, v. 48, n. 6, p. 1414-1428, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.jalgebra.2018.03.033. Acesso em: 10 jun. 2024.
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      Martínez-Flórez, G., Bolfarine, H., & Gómez, H. W. (2014). Skew-normal alpha-power model. Statistics: A Journal of Theoretical and Applied Statistics, 48( 6), 1414-1428. doi:10.1016/j.jalgebra.2018.03.033
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      Martínez-Flórez G, Bolfarine H, Gómez HW. Skew-normal alpha-power model [Internet]. Statistics: A Journal of Theoretical and Applied Statistics. 2014 ; 48( 6): 1414-1428.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1016/j.jalgebra.2018.03.033
    • Vancouver

      Martínez-Flórez G, Bolfarine H, Gómez HW. Skew-normal alpha-power model [Internet]. Statistics: A Journal of Theoretical and Applied Statistics. 2014 ; 48( 6): 1414-1428.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1016/j.jalgebra.2018.03.033
  • Source: Statistics: A Journal of Theoretical and Applied Statistics. Unidade: IME

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA PARAMÉTRICA, ESTATÍSTICA APLICADA

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      MARTÍNEZ-FLÓREZ, Guillermo e BOLFARINE, Heleno e GÓMEZ, Héctor W. An alpha-power extension for the Birnbaum–Saunders distribution. Statistics: A Journal of Theoretical and Applied Statistics, v. 48, n. 4, p. 896-912, 2014Tradução . . Disponível em: https://doi.org/10.1080/02331888.2013.846910. Acesso em: 10 jun. 2024.
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      Martínez-Flórez, G., Bolfarine, H., & Gómez, H. W. (2014). An alpha-power extension for the Birnbaum–Saunders distribution. Statistics: A Journal of Theoretical and Applied Statistics, 48( 4), 896-912. doi:10.1080/02331888.2013.846910
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      Martínez-Flórez G, Bolfarine H, Gómez HW. An alpha-power extension for the Birnbaum–Saunders distribution [Internet]. Statistics: A Journal of Theoretical and Applied Statistics. 2014 ; 48( 4): 896-912.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02331888.2013.846910
    • Vancouver

      Martínez-Flórez G, Bolfarine H, Gómez HW. An alpha-power extension for the Birnbaum–Saunders distribution [Internet]. Statistics: A Journal of Theoretical and Applied Statistics. 2014 ; 48( 4): 896-912.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02331888.2013.846910
  • Source: Journal of Statistical Computation and Simulation. Unidade: IME

    Assunto: ANÁLISE MULTIVARIADA

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      BLAS, Betsabe e BOLFARINE, Heleno e LACHOS, Victor. H. Statistical analysis of controlled calibration model with replicates. Journal of Statistical Computation and Simulation, v. 83, n. 5, p. 939-959, 2013Tradução . . Disponível em: https://doi.org/10.1080/00949655.2011.643410. Acesso em: 10 jun. 2024.
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      Blas, B., Bolfarine, H., & Lachos, V. H. (2013). Statistical analysis of controlled calibration model with replicates. Journal of Statistical Computation and Simulation, 83( 5), 939-959. doi:10.1080/00949655.2011.643410
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      Blas B, Bolfarine H, Lachos VH. Statistical analysis of controlled calibration model with replicates [Internet]. Journal of Statistical Computation and Simulation. 2013 ; 83( 5): 939-959.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/00949655.2011.643410
    • Vancouver

      Blas B, Bolfarine H, Lachos VH. Statistical analysis of controlled calibration model with replicates [Internet]. Journal of Statistical Computation and Simulation. 2013 ; 83( 5): 939-959.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/00949655.2011.643410
  • Source: Journal of Statistical Computation and Simulation. Unidade: IME

    Assunto: ANÁLISE DE SOBREVIVÊNCIA

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      FONSECA, Renata Santana e VALENÇA, Dione Maria e BOLFARINE, Heleno. Cure rate survival models with missing covariates: a simulation study. Journal of Statistical Computation and Simulation, v. 63, n. 1, p. 97-113, 2013Tradução . . Disponível em: https://doi.org/10.1080/00949655.2011.613396. Acesso em: 10 jun. 2024.
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      Fonseca, R. S., Valença, D. M., & Bolfarine, H. (2013). Cure rate survival models with missing covariates: a simulation study. Journal of Statistical Computation and Simulation, 63( 1), 97-113. doi:10.1080/00949655.2011.613396
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      Fonseca RS, Valença DM, Bolfarine H. Cure rate survival models with missing covariates: a simulation study [Internet]. Journal of Statistical Computation and Simulation. 2013 ; 63( 1): 97-113.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/00949655.2011.613396
    • Vancouver

      Fonseca RS, Valença DM, Bolfarine H. Cure rate survival models with missing covariates: a simulation study [Internet]. Journal of Statistical Computation and Simulation. 2013 ; 63( 1): 97-113.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/00949655.2011.613396
  • Source: Journal of Statistical Computation and Simulation. Unidade: IME

    Assunto: DISTRIBUIÇÕES (PROBABILIDADE)

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      AZEVEDO, Caio L.N e BOLFARINE, Heleno e ANDRADE, Dalton Francisco de. Parameter recovery for a skew-normal IRT model under a Bayesian approach: hierarchical framework, prior and kernel sensitivity and sample size. Journal of Statistical Computation and Simulation, v. 82, n. 11, p. 1679-1699, 2012Tradução . . Disponível em: https://doi.org/10.1080/00949655.2011.591798. Acesso em: 10 jun. 2024.
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      Azevedo, C. L. N., Bolfarine, H., & Andrade, D. F. de. (2012). Parameter recovery for a skew-normal IRT model under a Bayesian approach: hierarchical framework, prior and kernel sensitivity and sample size. Journal of Statistical Computation and Simulation, 82( 11), 1679-1699. doi:10.1080/00949655.2011.591798
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      Azevedo CLN, Bolfarine H, Andrade DF de. Parameter recovery for a skew-normal IRT model under a Bayesian approach: hierarchical framework, prior and kernel sensitivity and sample size [Internet]. Journal of Statistical Computation and Simulation. 2012 ; 82( 11): 1679-1699.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/00949655.2011.591798
    • Vancouver

      Azevedo CLN, Bolfarine H, Andrade DF de. Parameter recovery for a skew-normal IRT model under a Bayesian approach: hierarchical framework, prior and kernel sensitivity and sample size [Internet]. Journal of Statistical Computation and Simulation. 2012 ; 82( 11): 1679-1699.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/00949655.2011.591798
  • Source: Journal of Applied Statistics. Unidade: IME

    Assunto: DISTRIBUIÇÕES (PROBABILIDADE)

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      VENEGAS, Osvaldo et al. Robust modeling using the generalized epsilon-skew-t distribution. Journal of Applied Statistics, v. 39, n. 12, p. 2685\20132698, 2012Tradução . . Disponível em: https://doi.org/10.1080/02664763.2012.725462. Acesso em: 10 jun. 2024.
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      Venegas, O., Rodriguez, F., Olivares-Pacheco, J. F., Gómez, H. W., & Bolfarine, H. (2012). Robust modeling using the generalized epsilon-skew-t distribution. Journal of Applied Statistics, 39( 12), 2685\20132698. doi:10.1080/02664763.2012.725462
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      Venegas O, Rodriguez F, Olivares-Pacheco JF, Gómez HW, Bolfarine H. Robust modeling using the generalized epsilon-skew-t distribution [Internet]. Journal of Applied Statistics. 2012 ; 39( 12): 2685\20132698.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02664763.2012.725462
    • Vancouver

      Venegas O, Rodriguez F, Olivares-Pacheco JF, Gómez HW, Bolfarine H. Robust modeling using the generalized epsilon-skew-t distribution [Internet]. Journal of Applied Statistics. 2012 ; 39( 12): 2685\20132698.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02664763.2012.725462
  • Source: Environmetrics. Unidade: IME

    Assunto: INFERÊNCIA ESTATÍSTICA

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      GÓMEZ, Héctor W. e ELAL-OLIVERO, David e BOLFARINE, Heleno. Bimodal extension based on the skew-normal distribution with application to pollen data. Environmetrics, v. 22, n. 1, p. 50-62, 2011Tradução . . Disponível em: https://doi.org/10.1002/env.1026. Acesso em: 10 jun. 2024.
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      Gómez, H. W., Elal-Olivero, D., & Bolfarine, H. (2011). Bimodal extension based on the skew-normal distribution with application to pollen data. Environmetrics, 22( 1), 50-62. doi:10.1002/env.1026
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      Gómez HW, Elal-Olivero D, Bolfarine H. Bimodal extension based on the skew-normal distribution with application to pollen data [Internet]. Environmetrics. 2011 ; 22( 1): 50-62.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1002/env.1026
    • Vancouver

      Gómez HW, Elal-Olivero D, Bolfarine H. Bimodal extension based on the skew-normal distribution with application to pollen data [Internet]. Environmetrics. 2011 ; 22( 1): 50-62.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1002/env.1026
  • Source: Statistics. Unidade: IME

    Assunto: DISTRIBUIÇÕES (PROBABILIDADE)

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      GOMEZ, Hector W. e SALINAS, Hugo S. e BOLFARINE, Heleno. Generalized skew-normal models: properties and inference (vol 40, pg 495, 2006). Statistics, v. 45, n. 3, p. 307-308, 2011Tradução . . Disponível em: https://doi.org/10.1080/02331881003797601. Acesso em: 10 jun. 2024.
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      Gomez, H. W., Salinas, H. S., & Bolfarine, H. (2011). Generalized skew-normal models: properties and inference (vol 40, pg 495, 2006). Statistics, 45( 3), 307-308. doi:10.1080/02331881003797601
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      Gomez HW, Salinas HS, Bolfarine H. Generalized skew-normal models: properties and inference (vol 40, pg 495, 2006) [Internet]. Statistics. 2011 ; 45( 3): 307-308.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02331881003797601
    • Vancouver

      Gomez HW, Salinas HS, Bolfarine H. Generalized skew-normal models: properties and inference (vol 40, pg 495, 2006) [Internet]. Statistics. 2011 ; 45( 3): 307-308.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02331881003797601
  • Source: Journal of Applied Statistics. Unidade: IME

    Assunto: ESTIMAÇÃO PARAMÉTRICA

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      FIGUEIREDO, C. C. et al. On the skew-normal calibration model. Journal of Applied Statistics, v. 37, n. 3, p. 435-451, 2010Tradução . . Disponível em: https://doi.org/10.1080/02664760802715906. Acesso em: 10 jun. 2024.
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      Figueiredo, C. C., Bolfarine, H., Sandoval, M. C., & Lima, C. R. O. P. (2010). On the skew-normal calibration model. Journal of Applied Statistics, 37( 3), 435-451. doi:10.1080/02664760802715906
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      Figueiredo CC, Bolfarine H, Sandoval MC, Lima CROP. On the skew-normal calibration model [Internet]. Journal of Applied Statistics. 2010 ; 37( 3): 435-451.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02664760802715906
    • Vancouver

      Figueiredo CC, Bolfarine H, Sandoval MC, Lima CROP. On the skew-normal calibration model [Internet]. Journal of Applied Statistics. 2010 ; 37( 3): 435-451.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02664760802715906
  • Source: Statistics. Unidade: IME

    Assunto: MODELOS (ANÁLISE MULTIVARIADA)

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      PATRIOTA, Alexandre Galvão e BOLFARINE, Heleno. Measurement error models with a general class of error distribution. Statistics, v. 44, n. 2, p. 119-127, 2010Tradução . . Disponível em: https://doi.org/10.1080/02331880903023795. Acesso em: 10 jun. 2024.
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      Patriota, A. G., & Bolfarine, H. (2010). Measurement error models with a general class of error distribution. Statistics, 44( 2), 119-127. doi:10.1080/02331880903023795
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      Patriota AG, Bolfarine H. Measurement error models with a general class of error distribution [Internet]. Statistics. 2010 ; 44( 2): 119-127.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02331880903023795
    • Vancouver

      Patriota AG, Bolfarine H. Measurement error models with a general class of error distribution [Internet]. Statistics. 2010 ; 44( 2): 119-127.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02331880903023795
  • Source: Statistics. A Journal of Theoretical and Applied Statistics. Unidade: IME

    Assunto: REGRESSÃO LINEAR

    Acesso à fonteDOIHow to cite
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    • ABNT

      LACHOS DÁVILA, Victor Hugo et al. Multivariate measurement error models based on scale mixtures of the skew-normal distribution. Statistics. A Journal of Theoretical and Applied Statistics, v. 44, n. 6, p. 541-556, 2010Tradução . . Disponível em: https://doi.org/10.1080/02331880903236926. Acesso em: 10 jun. 2024.
    • APA

      Lachos Dávila, V. H., Labra, F. V., Bolfarine, H., & Ghosh, P. (2010). Multivariate measurement error models based on scale mixtures of the skew-normal distribution. Statistics. A Journal of Theoretical and Applied Statistics, 44( 6), 541-556. doi:10.1080/02331880903236926
    • NLM

      Lachos Dávila VH, Labra FV, Bolfarine H, Ghosh P. Multivariate measurement error models based on scale mixtures of the skew-normal distribution [Internet]. Statistics. A Journal of Theoretical and Applied Statistics. 2010 ; 44( 6): 541-556.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02331880903236926
    • Vancouver

      Lachos Dávila VH, Labra FV, Bolfarine H, Ghosh P. Multivariate measurement error models based on scale mixtures of the skew-normal distribution [Internet]. Statistics. A Journal of Theoretical and Applied Statistics. 2010 ; 44( 6): 541-556.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/02331880903236926
  • Source: Journal of Statistical Computation and Simulation. Unidades: ESALQ, IME

    Assunto: DADOS CENSURADOS

    Acesso à fonteDOIHow to cite
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    • ABNT

      ORTEGA, Edwin Moisés Marcos e PAULA, Gilberto Alvarenga e BOLFARINE, Heleno. Deviance residuals in generalised log-gamma regression models with censored observations. Journal of Statistical Computation and Simulation, v. 78, n. 8, p. 747-764, 2008Tradução . . Disponível em: https://doi.org/10.1080/00949650701282465. Acesso em: 10 jun. 2024.
    • APA

      Ortega, E. M. M., Paula, G. A., & Bolfarine, H. (2008). Deviance residuals in generalised log-gamma regression models with censored observations. Journal of Statistical Computation and Simulation, 78( 8), 747-764. doi:10.1080/00949650701282465
    • NLM

      Ortega EMM, Paula GA, Bolfarine H. Deviance residuals in generalised log-gamma regression models with censored observations [Internet]. Journal of Statistical Computation and Simulation. 2008 ; 78( 8): 747-764.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/00949650701282465
    • Vancouver

      Ortega EMM, Paula GA, Bolfarine H. Deviance residuals in generalised log-gamma regression models with censored observations [Internet]. Journal of Statistical Computation and Simulation. 2008 ; 78( 8): 747-764.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1080/00949650701282465

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