Menu

Filtros : "Inglaterra" "Journal of Statistical Computation and Simulation" Removidos: "Austrália" "ny" Limpar

Filtros

Refine with date range

1 - 20 (24 records)

  • Artigo de periodico

    Likelihood-based tests in zero-inflated power series models (2019)

    Zavaleta, Katherine Elizabeth Coaguila; Cancho, Vicente Garibay ; Lemonte, Artur José

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

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

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

    • ABNT

      ZAVALETA, Katherine Elizabeth Coaguila e CANCHO, Vicente Garibay e LEMONTE, Artur José. Likelihood-based tests in zero-inflated power series models. Journal of Statistical Computation and Simulation, v. 89, n. 3, p. 443-460, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1554660. Acesso em: 15 nov. 2024.

    • APA

      Zavaleta, K. E. C., Cancho, V. G., & Lemonte, A. J. (2019). Likelihood-based tests in zero-inflated power series models. Journal of Statistical Computation and Simulation, 89( 3), 443-460. doi:10.1080/00949655.2018.1554660

    • NLM

      Zavaleta KEC, Cancho VG, Lemonte AJ. Likelihood-based tests in zero-inflated power series models [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 3): 443-460.[citado 2024 nov. 15 ] 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. 15 ] Available from: https://doi.org/10.1080/00949655.2018.1554660

  • Artigo de periodico

    Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model (2019)

    Santos, Daiane de Souza; Cancho, Vicente Garibay ; Rodrigues, Josemar

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

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

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

    • ABNT

      SANTOS, Daiane de Souza e CANCHO, Vicente Garibay e RODRIGUES, Josemar. Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model. Journal of Statistical Computation and Simulation, v. 89, n. 5, p. 763-775, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2019.1572144. Acesso em: 15 nov. 2024.

    • APA

      Santos, D. de S., Cancho, V. G., & Rodrigues, J. (2019). Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model. Journal of Statistical Computation and Simulation, 89( 5), 763-775. doi:10.1080/00949655.2019.1572144

    • NLM

      Santos D de S, Cancho VG, Rodrigues J. Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 5): 763-775.[citado 2024 nov. 15 ] 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. 15 ] Available from: https://doi.org/10.1080/00949655.2019.1572144

  • Artigo de periodico

    Random number generation and estimation with the bimodal asymmetric power-normal distribution (2016)

    Andrade, B. B de; Bolfarine, Heleno ; Siroky, A. N

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

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

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

    • ABNT

      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: 15 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 15 ] 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 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2015.1016434

  • Artigo de periodico

    An extension of log-symmetric regression models: R codes and applications (2016)

    Vanegas, Luis Hernando; Paula, Gilberto Alvarenga

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

    Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO NÃO LINEAR, ANÁLISE ESTATÍSTICA DE DADOS, R (SOFTWARE ESTATÍSTICO)

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

    • ABNT

      VANEGAS, Luis Hernando e PAULA, Gilberto Alvarenga. An extension of log-symmetric regression models: R codes and applications. Journal of Statistical Computation and Simulation, v. 86, n. 9, p. 1709-1735, 2016Tradução . . Disponível em: https://doi.org/10.1080/00949655.2015.1081689. Acesso em: 15 nov. 2024.

    • APA

      Vanegas, L. H., & Paula, G. A. (2016). An extension of log-symmetric regression models: R codes and applications. Journal of Statistical Computation and Simulation, 86( 9), 1709-1735. doi:10.1080/00949655.2015.1081689

    • NLM

      Vanegas LH, Paula GA. An extension of log-symmetric regression models: R codes and applications [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 9): 1709-1735.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2015.1081689

    • Vancouver

      Vanegas LH, Paula GA. An extension of log-symmetric regression models: R codes and applications [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 9): 1709-1735.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2015.1081689

  • Artigo de periodico

    An EM algorithm for estimating the destructive weighted Poisson cure rate model (2016)

    Gallardo Mateluna, Diego Ignacio; Bolfarine, Heleno ; Lima, Antonio Carlos Pedroso de

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

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

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

    • ABNT

      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: 15 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 15 ] 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 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2015.1071375

  • Artigo de periodico

    A comparative review of generalizations of the Gumbel extreme value distribution with an application to wind speed data (2015)

    Pinheiro, Eliane Cantinho; Ferrari, Sílvia Lopes de Paula

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

    Assunto: DISTRIBUIÇÕES DE EXTREMOS

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

    • ABNT

      PINHEIRO, Eliane Cantinho e FERRARI, Sílvia Lopes de Paula. A comparative review of generalizations of the Gumbel extreme value distribution with an application to wind speed data. Journal of Statistical Computation and Simulation, 2015Tradução . . Disponível em: https://doi.org/10.1080/00949655.2015.1107909. Acesso em: 15 nov. 2024.

    • APA

      Pinheiro, E. C., & Ferrari, S. L. de P. (2015). A comparative review of generalizations of the Gumbel extreme value distribution with an application to wind speed data. Journal of Statistical Computation and Simulation. doi:10.1080/00949655.2015.1107909

    • NLM

      Pinheiro EC, Ferrari SL de P. A comparative review of generalizations of the Gumbel extreme value distribution with an application to wind speed data [Internet]. Journal of Statistical Computation and Simulation. 2015 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2015.1107909

    • Vancouver

      Pinheiro EC, Ferrari SL de P. A comparative review of generalizations of the Gumbel extreme value distribution with an application to wind speed data [Internet]. Journal of Statistical Computation and Simulation. 2015 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2015.1107909

  • Artigo de periodico

    Inference and diagnostics in skew scale mixtures of normal regression models (2015)

    Ferreira, Clécio da Silva; Lachos, Victor Hugo; Bolfarine, Heleno

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

    Subjects: INFERÊNCIA ESTATÍSTICA, INFERÊNCIA PARAMÉTRICA

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

    • ABNT

      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: 15 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 15 ] 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 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2013.828057

  • Artigo de periodico

    Bayesian analysis for zero-or-one inflated proportion data using quantile regression (2015)

    Santos, Bruno; Bolfarine, Heleno

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

    Subjects: REGRESSÃO LINEAR, INFERÊNCIA BAYESIANA

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

    • ABNT

      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: 15 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 15 ] 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 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2014.986733

  • Artigo de periodico

    Indirect estimation of randomized generalized autoregressive conditional heteroskedastic models (2015)

    Sampaio, Jhames Matos; Morettin, Pedro Alberto

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

    Subjects: ANÁLISE DE SÉRIES TEMPORAIS, INFERÊNCIA PARA SÉRIES TEMPORAIS, MODELOS EM SÉRIES TEMPORAIS

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

    • ABNT

      SAMPAIO, Jhames Matos e MORETTIN, Pedro Alberto. Indirect estimation of randomized generalized autoregressive conditional heteroskedastic models. Journal of Statistical Computation and Simulation, v. 85, n. 13, p. 2702-2717, 2015Tradução . . Disponível em: https://doi.org/10.1080/00949655.2014.934244. Acesso em: 15 nov. 2024.

    • APA

      Sampaio, J. M., & Morettin, P. A. (2015). Indirect estimation of randomized generalized autoregressive conditional heteroskedastic models. Journal of Statistical Computation and Simulation, 85( 13), 2702-2717. doi:10.1080/00949655.2014.934244

    • NLM

      Sampaio JM, Morettin PA. Indirect estimation of randomized generalized autoregressive conditional heteroskedastic models [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 13): 2702-2717.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2014.934244

    • Vancouver

      Sampaio JM, Morettin PA. Indirect estimation of randomized generalized autoregressive conditional heteroskedastic models [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 13): 2702-2717.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2014.934244

  • Artigo de periodico

    Small-sample likelihood inference in extreme-value regression models (2014)

    Ferrari, Sílvia Lopes de Paula ; Pinheiro, Eliane Cantinho

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

    Assunto: PESQUISA E PLANEJAMENTO ESTATÍSTICO

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

    • ABNT

      FERRARI, Sílvia Lopes de Paula e PINHEIRO, Eliane Cantinho. Small-sample likelihood inference in extreme-value regression models. Journal of Statistical Computation and Simulation, v. 84, n. 3, p. 582-595, 2014Tradução . . Disponível em: https://doi.org/10.1080/00949655.2012.720686. Acesso em: 15 nov. 2024.

    • APA

      Ferrari, S. L. de P., & Pinheiro, E. C. (2014). Small-sample likelihood inference in extreme-value regression models. Journal of Statistical Computation and Simulation, 84( 3), 582-595. doi:10.1080/00949655.2012.720686

    • NLM

      Ferrari SL de P, Pinheiro EC. Small-sample likelihood inference in extreme-value regression models [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 3): 582-595.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2012.720686

    • Vancouver

      Ferrari SL de P, Pinheiro EC. Small-sample likelihood inference in extreme-value regression models [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 3): 582-595.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2012.720686

  • Artigo de periodico

    Adjusted Pearson residuals in beta regression models (2014)

    Anholeto, Tatiana; Sandoval, Monica Carneiro; Botter, Denise Aparecida

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

    Subjects: INFERÊNCIA ESTATÍSTICA, MODELOS NÃO LINEARES

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

    • ABNT

      ANHOLETO, Tatiana e SANDOVAL, Monica Carneiro e BOTTER, Denise Aparecida. Adjusted Pearson residuals in beta regression models. Journal of Statistical Computation and Simulation, v. 84, n. 5, p. 999-1014, 2014Tradução . . Disponível em: https://doi.org/10.1080/00949655.2012.736993. Acesso em: 15 nov. 2024.

    • APA

      Anholeto, T., Sandoval, M. C., & Botter, D. A. (2014). Adjusted Pearson residuals in beta regression models. Journal of Statistical Computation and Simulation, 84( 5), 999-1014. doi:10.1080/00949655.2012.736993

    • NLM

      Anholeto T, Sandoval MC, Botter DA. Adjusted Pearson residuals in beta regression models [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 5): 999-1014.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2012.736993

    • Vancouver

      Anholeto T, Sandoval MC, Botter DA. Adjusted Pearson residuals in beta regression models [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 5): 999-1014.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2012.736993

  • Artigo de periodico

    Modified likelihood ratio tests in heteroskedastic multivariate regression models with measurement error (2014)

    Melo, Tatiane F. N; Ferrari, Sílvia Lopes de Paula ; Patriota, Alexandre Galvão

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

    Subjects: ESTATÍSTICA COMPUTACIONAL, INFERÊNCIA ESTATÍSTICA, ANÁLISE MULTIVARIADA, DISTRIBUIÇÃO ELÍPTICA

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

    • ABNT

      MELO, Tatiane F. N e FERRARI, Sílvia Lopes de Paula e PATRIOTA, Alexandre Galvão. Modified likelihood ratio tests in heteroskedastic multivariate regression models with measurement error. Journal of Statistical Computation and Simulation, v. 84, n. 10, p. 2233-2247, 2014Tradução . . Disponível em: https://doi.org/10.1080/00949655.2013.787691. Acesso em: 15 nov. 2024.

    • APA

      Melo, T. F. N., Ferrari, S. L. de P., & Patriota, A. G. (2014). Modified likelihood ratio tests in heteroskedastic multivariate regression models with measurement error. Journal of Statistical Computation and Simulation, 84( 10), 2233-2247. doi:10.1080/00949655.2013.787691

    • NLM

      Melo TFN, Ferrari SL de P, Patriota AG. Modified likelihood ratio tests in heteroskedastic multivariate regression models with measurement error [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 10): 2233-2247.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2013.787691

    • Vancouver

      Melo TFN, Ferrari SL de P, Patriota AG. Modified likelihood ratio tests in heteroskedastic multivariate regression models with measurement error [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 10): 2233-2247.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2013.787691

  • Artigo de periodico

    The complementary Weibull geometric distribution (2014)

    Tojeiro, Cynthia; Louzada, Francisco ; Roman, Mari; Borges, Patrick

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

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

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

    • ABNT

      TOJEIRO, Cynthia et al. The complementary Weibull 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: 15 nov. 2024.

    • APA

      Tojeiro, C., Louzada, F., Roman, M., & Borges, P. (2014). The complementary Weibull geometric distribution. Journal of Statistical Computation and Simulation, 84( 6), 1345-1362. doi:10.1080/00949655.2012.744406

    • NLM

      Tojeiro C, Louzada F, Roman M, Borges P. The complementary Weibull geometric distribution [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 6): 1345-1362.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2012.744406

    • Vancouver

      Tojeiro C, Louzada F, Roman M, Borges P. The complementary Weibull geometric distribution [Internet]. Journal of Statistical Computation and Simulation. 2014 ; 84( 6): 1345-1362.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2012.744406

  • Artigo de periodico

    Statistical analysis of controlled calibration model with replicates (2013)

    Blas, Betsabe; Bolfarine, Heleno ; Lachos, Victor. H

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

    Assunto: ANÁLISE MULTIVARIADA

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

    • ABNT

      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: 15 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 15 ] 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 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2011.643410

  • Artigo de periodico

    Cure rate survival models with missing covariates: a simulation study (2013)

    Fonseca, Renata Santana; Valença, Dione Maria; Bolfarine, Heleno

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

    Assunto: ANÁLISE DE SOBREVIVÊNCIA

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

    • ABNT

      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: 15 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 15 ] 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 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2011.613396

  • Artigo de periodico

    Parameter recovery for a skew-normal IRT model under a Bayesian approach: hierarchical framework, prior and kernel sensitivity and sample size (2012)

    Azevedo, Caio L.N; Bolfarine, Heleno ; Andrade, Dalton Francisco de

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

    Assunto: DISTRIBUIÇÕES (PROBABILIDADE)

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

    • ABNT

      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: 15 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 15 ] 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 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2011.591798

  • 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

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

    • 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: 15 nov. 2024.

    • 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 2024 nov. 15 ] 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 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2010.491827

  • Artigo de periodico

    Improved likelihood inference in beta regression (2011)

    Ferrari, Sílvia Lopes de Paula ; Pinheiro, Eliane C.

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

    Assunto: MODELOS (ANÁLISE MULTIVARIADA)

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

    • ABNT

      FERRARI, Sílvia Lopes de Paula e PINHEIRO, Eliane C. Improved likelihood inference in beta regression. Journal of Statistical Computation and Simulation, v. 81, n. 4, p. 431-443, 2011Tradução . . Disponível em: https://doi.org/10.1080/00949650903389993. Acesso em: 15 nov. 2024.

    • APA

      Ferrari, S. L. de P., & Pinheiro, E. C. (2011). Improved likelihood inference in beta regression. Journal of Statistical Computation and Simulation, 81( 4), 431-443. doi:10.1080/00949650903389993

    • NLM

      Ferrari SL de P, Pinheiro EC. Improved likelihood inference in beta regression [Internet]. Journal of Statistical Computation and Simulation. 2011 ; 81( 4): 431-443.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949650903389993

    • Vancouver

      Ferrari SL de P, Pinheiro EC. Improved likelihood inference in beta regression [Internet]. Journal of Statistical Computation and Simulation. 2011 ; 81( 4): 431-443.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949650903389993

  • Artigo de periodico

    Deviance residuals in generalised log-gamma regression models with censored observations (2008)

    Ortega, Edwin Moisés Marcos; Paula, Gilberto Alvarenga ; Bolfarine, Heleno

    Source: Journal of Statistical Computation and Simulation. Unidades: ESALQ, IME

    Assunto: DADOS CENSURADOS

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

    • 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: 15 nov. 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 nov. 15 ] 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 nov. 15 ] Available from: https://doi.org/10.1080/00949650701282465

  • Artigo de periodico

    Random number generators for the generalized Birnbaum-Saunders distribution (2008)

    Leiva, Victor; Sanhueza, Antonio; Sen, Pranab Kumar; Paula, Gilberto Alvarenga

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

    Assunto: DISTRIBUIÇÃO ELÍPTICA

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

    • ABNT

      LEIVA, Victor et al. Random number generators for the generalized Birnbaum-Saunders distribution. Journal of Statistical Computation and Simulation, v. 78, n. 11, p. 1105-1118, 2008Tradução . . Disponível em: https://doi.org/10.1080/00949650701550242. Acesso em: 15 nov. 2024.

    • APA

      Leiva, V., Sanhueza, A., Sen, P. K., & Paula, G. A. (2008). Random number generators for the generalized Birnbaum-Saunders distribution. Journal of Statistical Computation and Simulation, 78( 11), 1105-1118. doi:10.1080/00949650701550242

    • NLM

      Leiva V, Sanhueza A, Sen PK, Paula GA. Random number generators for the generalized Birnbaum-Saunders distribution [Internet]. Journal of Statistical Computation and Simulation. 2008 ; 78( 11): 1105-1118.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949650701550242

    • Vancouver

      Leiva V, Sanhueza A, Sen PK, Paula GA. Random number generators for the generalized Birnbaum-Saunders distribution [Internet]. Journal of Statistical Computation and Simulation. 2008 ; 78( 11): 1105-1118.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949650701550242

1 - 20 (24 records)

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024