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Filtros : "ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO" "Brazilian Journal of Probability and Statistics" Removido: "SANTOS, BRUNO RAMOS DOS" Limpar

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  • Artigo de periodico

    Regression modeling of censored data based on compound scale mixtures of normal distributions (2023)

    Benites, Luis ; Zeller, Camila Borelli ; Bolfarine, Heleno ; Lachos, Victor Hugo

    Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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    • ABNT

      BENITES, Luis et al. Regression modeling of censored data based on compound scale mixtures of normal distributions. Brazilian Journal of Probability and Statistics, v. 37, n. 2, p. 282-312, 2023Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS551. Acesso em: 03 jul. 2024.

    • APA

      Benites, L., Zeller, C. B., Bolfarine, H., & Lachos, V. H. (2023). Regression modeling of censored data based on compound scale mixtures of normal distributions. Brazilian Journal of Probability and Statistics, 37( 2), 282-312. doi:10.1214/22-BJPS551

    • NLM

      Benites L, Zeller CB, Bolfarine H, Lachos VH. Regression modeling of censored data based on compound scale mixtures of normal distributions [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 282-312.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1214/22-BJPS551

    • Vancouver

      Benites L, Zeller CB, Bolfarine H, Lachos VH. Regression modeling of censored data based on compound scale mixtures of normal distributions [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 282-312.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1214/22-BJPS551

  • Artigo de periodico

    An extension of the partially linear Rice regression model for bimodal and correlated data (2023)

    Vasconcelos, Julio Cezar Souza ; Ortega, Edwin Moises Marcos ; Vila, Roberto; Cancho, Vicente Garibay

    Source: Brazilian Journal of Probability and Statistics. Unidades: ESALQ, ICMC

    Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA

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      VASCONCELOS, Julio Cezar Souza et al. An extension of the partially linear Rice regression model for bimodal and correlated data. Brazilian Journal of Probability and Statistics, v. 37, n. 1, p. 177-194, 2023Tradução . . Disponível em: https://doi.org/10.1214/23-BJPS566. Acesso em: 03 jul. 2024.

    • APA

      Vasconcelos, J. C. S., Ortega, E. M. M., Vila, R., & Cancho, V. G. (2023). An extension of the partially linear Rice regression model for bimodal and correlated data. Brazilian Journal of Probability and Statistics, 37( 1), 177-194. doi:10.1214/23-BJPS566

    • NLM

      Vasconcelos JCS, Ortega EMM, Vila R, Cancho VG. An extension of the partially linear Rice regression model for bimodal and correlated data [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 177-194.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1214/23-BJPS566

    • Vancouver

      Vasconcelos JCS, Ortega EMM, Vila R, Cancho VG. An extension of the partially linear Rice regression model for bimodal and correlated data [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 177-194.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1214/23-BJPS566

  • Artigo de periodico

    Multiplicative errors-in-variables beta regression (2023)

    Carrasco, Jalmar M. F ; Ferrari, Sílvia Lopes de Paula ; Arellano–Valle, Reinaldo B.

    Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: INFERÊNCIA ESTATÍSTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      CARRASCO, Jalmar M. F e FERRARI, Sílvia Lopes de Paula e ARELLANO–VALLE, Reinaldo B. Multiplicative errors-in-variables beta regression. Brazilian Journal of Probability and Statistics, v. 37, n. 2, p. 249-262, 2023Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS543. Acesso em: 03 jul. 2024.

    • APA

      Carrasco, J. M. F., Ferrari, S. L. de P., & Arellano–Valle, R. B. (2023). Multiplicative errors-in-variables beta regression. Brazilian Journal of Probability and Statistics, 37( 2), 249-262. doi:10.1214/22-BJPS543

    • NLM

      Carrasco JMF, Ferrari SL de P, Arellano–Valle RB. Multiplicative errors-in-variables beta regression [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 249-262.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1214/22-BJPS543

    • Vancouver

      Carrasco JMF, Ferrari SL de P, Arellano–Valle RB. Multiplicative errors-in-variables beta regression [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 249-262.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1214/22-BJPS543

  • Artigo de periodico

    Bayesian inference for zero-and/or-one augmented beta rectangular regression models (2021)

    Silva, Ana R. S; Azevedo, Caio Lucidius Naberezny ; Bazán Guzmán, Jorge Luis ; Nobre, Juvêncio Santos

    Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, MÉTODOS MCMC

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      SILVA, Ana R. S et al. Bayesian inference for zero-and/or-one augmented beta rectangular regression models. Brazilian Journal of Probability and Statistics, v. 35, n. 4, p. 749-771, 2021Tradução . . Disponível em: https://doi.org/10.1214/21-BJPS505. Acesso em: 03 jul. 2024.

    • APA

      Silva, A. R. S., Azevedo, C. L. N., Bazán Guzmán, J. L., & Nobre, J. S. (2021). Bayesian inference for zero-and/or-one augmented beta rectangular regression models. Brazilian Journal of Probability and Statistics, 35( 4), 749-771. doi:10.1214/21-BJPS505

    • NLM

      Silva ARS, Azevedo CLN, Bazán Guzmán JL, Nobre JS. Bayesian inference for zero-and/or-one augmented beta rectangular regression models [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 4): 749-771.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1214/21-BJPS505

    • Vancouver

      Silva ARS, Azevedo CLN, Bazán Guzmán JL, Nobre JS. Bayesian inference for zero-and/or-one augmented beta rectangular regression models [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 4): 749-771.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1214/21-BJPS505

  • Artigo de periodico

    Bayesian modeling and prior sensitivity analysis for zero-one augmented beta regression models with an application to psychometric data (2020)

    Nogarotto, Danilo Covaes ; Azevedo, Caio Lucidius Naberezny ; Bazán Guzmán, Jorge Luis

    Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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    • ABNT

      NOGAROTTO, Danilo Covaes e AZEVEDO, Caio Lucidius Naberezny e BAZÁN GUZMÁN, Jorge Luis. Bayesian modeling and prior sensitivity analysis for zero-one augmented beta regression models with an application to psychometric data. Brazilian Journal of Probability and Statistics, v. 34, n. 2, p. 304-322, 2020Tradução . . Disponível em: https://doi.org/10.1214/18-BJPS423. Acesso em: 03 jul. 2024.

    • APA

      Nogarotto, D. C., Azevedo, C. L. N., & Bazán Guzmán, J. L. (2020). Bayesian modeling and prior sensitivity analysis for zero-one augmented beta regression models with an application to psychometric data. Brazilian Journal of Probability and Statistics, 34( 2), 304-322. doi:10.1214/18-BJPS423

    • NLM

      Nogarotto DC, Azevedo CLN, Bazán Guzmán JL. Bayesian modeling and prior sensitivity analysis for zero-one augmented beta regression models with an application to psychometric data [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 2): 304-322.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1214/18-BJPS423

    • Vancouver

      Nogarotto DC, Azevedo CLN, Bazán Guzmán JL. Bayesian modeling and prior sensitivity analysis for zero-one augmented beta regression models with an application to psychometric data [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 2): 304-322.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1214/18-BJPS423

  • Artigo de periodico

    L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications (2019)

    Paz, Rosineide F. da; Balakrishnan, Narayanaswamy; Bazán Guzmán, Jorge Luis

    Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, DISTRIBUIÇÃO LOGÍSTICA, DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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    • ABNT

      PAZ, Rosineide F. da e BALAKRISHNAN, Narayanaswamy e BAZÁN GUZMÁN, Jorge Luis. L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications. Brazilian Journal of Probability and Statistics, v. 33, n. 3, p. 455-479, 2019Tradução . . Disponível em: https://doi.org/10.1214/18-BJPS397. Acesso em: 03 jul. 2024.

    • APA

      Paz, R. F. da, Balakrishnan, N., & Bazán Guzmán, J. L. (2019). L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications. Brazilian Journal of Probability and Statistics, 33( 3), 455-479. doi:10.1214/18-BJPS397

    • NLM

      Paz RF da, Balakrishnan N, Bazán Guzmán JL. L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 3): 455-479.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1214/18-BJPS397

    • Vancouver

      Paz RF da, Balakrishnan N, Bazán Guzmán JL. L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 3): 455-479.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1214/18-BJPS397

  • Artigo de periodico

    Bayesian approach for the zero-modified Poisson-Lindley regression model (2019)

    Silva, Wesley Bertoli da ; Conceição, Katiane Silva ; Andrade, Marinho Gomes de ; Louzada, Francisco

    Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO, VEROSSIMILHANÇA

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      SILVA, Wesley Bertoli da et al. Bayesian approach for the zero-modified Poisson-Lindley regression model. Brazilian Journal of Probability and Statistics, v. 33, n. 4, p. 826-860, 2019Tradução . . Disponível em: https://doi.org/10.1214/19-BJPS447. Acesso em: 03 jul. 2024.

    • APA

      Silva, W. B. da, Conceição, K. S., Andrade, M. G. de, & Louzada, F. (2019). Bayesian approach for the zero-modified Poisson-Lindley regression model. Brazilian Journal of Probability and Statistics, 33( 4), 826-860. doi:10.1214/19-BJPS447

    • NLM

      Silva WB da, Conceição KS, Andrade MG de, Louzada F. Bayesian approach for the zero-modified Poisson-Lindley regression model [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 4): 826-860.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1214/19-BJPS447

    • Vancouver

      Silva WB da, Conceição KS, Andrade MG de, Louzada F. Bayesian approach for the zero-modified Poisson-Lindley regression model [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 4): 826-860.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1214/19-BJPS447

  • Artigo de periodico

    Latent residual analysis in binary regression with skewed link (2012)

    Farias, Rafael Bráz Azevedo; Branco, Marcia D'Elia

    Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      FARIAS, Rafael Bráz Azevedo e BRANCO, Marcia D'Elia. Latent residual analysis in binary regression with skewed link. Brazilian Journal of Probability and Statistics, v. 26, n. 4, p. 344-357, 2012Tradução . . Disponível em: https://doi.org/10.1214/11-BJPS143. Acesso em: 03 jul. 2024.

    • APA

      Farias, R. B. A., & Branco, M. D. 'E. (2012). Latent residual analysis in binary regression with skewed link. Brazilian Journal of Probability and Statistics, 26( 4), 344-357. doi:10.1214/11-BJPS143

    • NLM

      Farias RBA, Branco MD'E. Latent residual analysis in binary regression with skewed link [Internet]. Brazilian Journal of Probability and Statistics. 2012 ; 26( 4): 344-357.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1214/11-BJPS143

    • Vancouver

      Farias RBA, Branco MD'E. Latent residual analysis in binary regression with skewed link [Internet]. Brazilian Journal of Probability and Statistics. 2012 ; 26( 4): 344-357.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1214/11-BJPS143

  • Artigo de periodico

    Diagnostic methods in elliptical linear regression models (2000)

    Galea Rojas, Manuel Jesus; Riquelme, Marco; Paula, Gilberto Alvarenga

    Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      GALEA ROJAS, Manuel Jesus e RIQUELME, Marco e PAULA, Gilberto Alvarenga. Diagnostic methods in elliptical linear regression models. Brazilian Journal of Probability and Statistics, v. 14, p. 167-184, 2000Tradução . . Disponível em: https://www.jstor.org/stable/43600976. Acesso em: 03 jul. 2024.

    • APA

      Galea Rojas, M. J., Riquelme, M., & Paula, G. A. (2000). Diagnostic methods in elliptical linear regression models. Brazilian Journal of Probability and Statistics, 14, 167-184. Recuperado de https://www.jstor.org/stable/43600976

    • NLM

      Galea Rojas MJ, Riquelme M, Paula GA. Diagnostic methods in elliptical linear regression models [Internet]. Brazilian Journal of Probability and Statistics. 2000 ; 14 167-184.[citado 2024 jul. 03 ] Available from: https://www.jstor.org/stable/43600976

    • Vancouver

      Galea Rojas MJ, Riquelme M, Paula GA. Diagnostic methods in elliptical linear regression models [Internet]. Brazilian Journal of Probability and Statistics. 2000 ; 14 167-184.[citado 2024 jul. 03 ] Available from: https://www.jstor.org/stable/43600976
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