Filtros : "local influence" Limpar

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  • Source: Journal of Applied Statistics. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística

    Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA

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    • ABNT

      OLMOS, Isaac Esteban Cortés e CASTRO, Mário de e MATELUNA, Diego Ignacio Gallardo. A new family of quantile regression models applied to nutritional data. Journal of Applied Statistics, v. 51, n. 7, p. 1378-1398, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2023.2203882. Acesso em: 25 jan. 2026.
    • APA

      Olmos, I. E. C., Castro, M. de, & Mateluna, D. I. G. (2024). A new family of quantile regression models applied to nutritional data. Journal of Applied Statistics, 51( 7), 1378-1398. doi:10.1080/02664763.2023.2203882
    • NLM

      Olmos IEC, Castro M de, Mateluna DIG. A new family of quantile regression models applied to nutritional data [Internet]. Journal of Applied Statistics. 2024 ; 51( 7): 1378-1398.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1080/02664763.2023.2203882
    • Vancouver

      Olmos IEC, Castro M de, Mateluna DIG. A new family of quantile regression models applied to nutritional data [Internet]. Journal of Applied Statistics. 2024 ; 51( 7): 1378-1398.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1080/02664763.2023.2203882
  • Source: Journal of Applied Statistics. Unidade: IME

    Subjects: MÉTODO DE MONTE CARLO, PROCESSOS DE POISSON, BIOESTATÍSTICA

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    • ABNT

      SILVA, Alejandra Andrea Tapia et al. Sensitivity analysis of longitudinal count responses: a local influence approach and application to medical data. Journal of Applied Statistics, v. 46, n. 6, p. 1021-1042, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2018.1531978. Acesso em: 25 jan. 2026.
    • APA

      Silva, A. A. T., Giampaoli, V., Diaz, M. del P., & Leiva-Sanchez, V. (2019). Sensitivity analysis of longitudinal count responses: a local influence approach and application to medical data. Journal of Applied Statistics, 46( 6), 1021-1042. doi:10.1080/02664763.2018.1531978
    • NLM

      Silva AAT, Giampaoli V, Diaz M del P, Leiva-Sanchez V. Sensitivity analysis of longitudinal count responses: a local influence approach and application to medical data [Internet]. Journal of Applied Statistics. 2019 ; 46( 6): 1021-1042.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1080/02664763.2018.1531978
    • Vancouver

      Silva AAT, Giampaoli V, Diaz M del P, Leiva-Sanchez V. Sensitivity analysis of longitudinal count responses: a local influence approach and application to medical data [Internet]. Journal of Applied Statistics. 2019 ; 46( 6): 1021-1042.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1080/02664763.2018.1531978
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: REGRESSÃO LINEAR

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    • ABNT

      FERREIRA, Clécio da Silva e VILCA, Filidor e BOLFARINE, Heleno. Diagnostics analysis for skew-normal linear regression models: Applications to a quality of life dataset. Brazilian Journal of Probability and Statistics, v. 32, n. 3, p. 525-544, 2018Tradução . . Disponível em: https://doi.org/10.1214/17-bjps352. Acesso em: 25 jan. 2026.
    • APA

      Ferreira, C. da S., Vilca, F., & Bolfarine, H. (2018). Diagnostics analysis for skew-normal linear regression models: Applications to a quality of life dataset. Brazilian Journal of Probability and Statistics, 32( 3), 525-544. doi:10.1214/17-bjps352
    • NLM

      Ferreira C da S, Vilca F, Bolfarine H. Diagnostics analysis for skew-normal linear regression models: Applications to a quality of life dataset [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 3): 525-544.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1214/17-bjps352
    • Vancouver

      Ferreira C da S, Vilca F, Bolfarine H. Diagnostics analysis for skew-normal linear regression models: Applications to a quality of life dataset [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 3): 525-544.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1214/17-bjps352
  • Source: Communications for Statistical Applications and Methods. Unidades: ESALQ, ICMC

    Subjects: PROBABILIDADE, INFERÊNCIA BAYESIANA, INFERÊNCIA PARAMÉTRICA, INFERÊNCIA ESTATÍSTICA

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    • ABNT

      CRUZ, José N. da et al. Bivariate odd-log-logistic-Weibull regression model for oral health-related quality of life. Communications for Statistical Applications and Methods, v. 24, n. 3, p. 271-290, 2017Tradução . . Disponível em: https://doi.org/10.5351/CSAM.2017.24.3.271. Acesso em: 25 jan. 2026.
    • APA

      Cruz, J. N. da, Ortega, E. M. M., Cordeiro, G. M., Suzuki, A. K., & Mialhe, F. L. (2017). Bivariate odd-log-logistic-Weibull regression model for oral health-related quality of life. Communications for Statistical Applications and Methods, 24( 3), 271-290. doi:10.5351/CSAM.2017.24.3.271
    • NLM

      Cruz JN da, Ortega EMM, Cordeiro GM, Suzuki AK, Mialhe FL. Bivariate odd-log-logistic-Weibull regression model for oral health-related quality of life [Internet]. Communications for Statistical Applications and Methods. 2017 ; 24( 3): 271-290.[citado 2026 jan. 25 ] Available from: https://doi.org/10.5351/CSAM.2017.24.3.271
    • Vancouver

      Cruz JN da, Ortega EMM, Cordeiro GM, Suzuki AK, Mialhe FL. Bivariate odd-log-logistic-Weibull regression model for oral health-related quality of life [Internet]. Communications for Statistical Applications and Methods. 2017 ; 24( 3): 271-290.[citado 2026 jan. 25 ] Available from: https://doi.org/10.5351/CSAM.2017.24.3.271
  • Source: Journal of Applied Statistics. Unidade: IME

    Subjects: ESTATÍSTICA APLICADA, REGRESSÃO LINEAR

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    • ABNT

      FERREIRA, Clécio S. e PAULA, Gilberto Alvarenga. Estimation and diagnostic for skew-normal partially linear models. Journal of Applied Statistics, v. 44, n. 16, p. 3033-3053, 2017Tradução . . Disponível em: https://doi.org/10.1080/02664763.2016.1267124. Acesso em: 25 jan. 2026.
    • APA

      Ferreira, C. S., & Paula, G. A. (2017). Estimation and diagnostic for skew-normal partially linear models. Journal of Applied Statistics, 44( 16), 3033-3053. doi:10.1080/02664763.2016.1267124
    • NLM

      Ferreira CS, Paula GA. Estimation and diagnostic for skew-normal partially linear models [Internet]. Journal of Applied Statistics. 2017 ; 44( 16): 3033-3053.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1080/02664763.2016.1267124
    • Vancouver

      Ferreira CS, Paula GA. Estimation and diagnostic for skew-normal partially linear models [Internet]. Journal of Applied Statistics. 2017 ; 44( 16): 3033-3053.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1080/02664763.2016.1267124
  • Source: Australian Journal of Statistics. Unidade: IME

    Assunto: MODELOS LINEARES GENERALIZADOS

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      PAULA, Gilberto Alvarenga. Influence diagnostics in proper dispersion models. Australian Journal of Statistics, v. 38, n. 3, p. 307-316, 1996Tradução . . Disponível em: https://doi.org/10.1111/j.1467-842X.1996.tb00685.x. Acesso em: 25 jan. 2026.
    • APA

      Paula, G. A. (1996). Influence diagnostics in proper dispersion models. Australian Journal of Statistics, 38( 3), 307-316. doi:10.1111/j.1467-842X.1996.tb00685.x
    • NLM

      Paula GA. Influence diagnostics in proper dispersion models [Internet]. Australian Journal of Statistics. 1996 ; 38( 3): 307-316.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1111/j.1467-842X.1996.tb00685.x
    • Vancouver

      Paula GA. Influence diagnostics in proper dispersion models [Internet]. Australian Journal of Statistics. 1996 ; 38( 3): 307-316.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1111/j.1467-842X.1996.tb00685.x

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