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  • Source: Quality and Reliability Engineering International. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística

    Subjects: FALHA, VEROSSIMILHANÇA, SIMULAÇÃO

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    • ABNT

      BRITO, Eder Silva de et al. Reliability analysis of multiple repairable systems under imperfect repair and unobserved heterogeneity. Quality and Reliability Engineering International, v. 40, p. 3888-3912, 2024Tradução . . Disponível em: https://doi.org/10.1002/qre.3607. Acesso em: 05 jan. 2026.
    • APA

      Brito, E. S. de, Tomazella, V. L. D., Ferreira, P. H., Louzada, F., & Gonzatto Junior, O. A. (2024). Reliability analysis of multiple repairable systems under imperfect repair and unobserved heterogeneity. Quality and Reliability Engineering International, 40, 3888-3912. doi:10.1002/qre.3607
    • NLM

      Brito ES de, Tomazella VLD, Ferreira PH, Louzada F, Gonzatto Junior OA. Reliability analysis of multiple repairable systems under imperfect repair and unobserved heterogeneity [Internet]. Quality and Reliability Engineering International. 2024 ; 40 3888-3912.[citado 2026 jan. 05 ] Available from: https://doi.org/10.1002/qre.3607
    • Vancouver

      Brito ES de, Tomazella VLD, Ferreira PH, Louzada F, Gonzatto Junior OA. Reliability analysis of multiple repairable systems under imperfect repair and unobserved heterogeneity [Internet]. Quality and Reliability Engineering International. 2024 ; 40 3888-3912.[citado 2026 jan. 05 ] Available from: https://doi.org/10.1002/qre.3607
  • Source: Chilean Journal of Statistics. Unidades: IME, FEA

    Subjects: ESTATÍSTICA DE PROCESSOS ESTOCÁSTICOS, CRISE FINANCEIRA, ATUÁRIA

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    • ABNT

      GIAMPAOLI, Viviana et al. Prediction of a financial crisis in Latin American companies using the mixed logistic regression model. Chilean Journal of Statistics, v. 7, n. 1, p. 31-41, 2016Tradução . . Disponível em: http://chjs.mat.utfsm.cl/volumes/07/01/Giampaoli_etal(2016).pdf. Acesso em: 05 jan. 2026.
    • APA

      Giampaoli, V., Tamura, K. A., Caro, N. P., & Araujo, L. J. S. de. (2016). Prediction of a financial crisis in Latin American companies using the mixed logistic regression model. Chilean Journal of Statistics, 7( 1), 31-41. Recuperado de http://chjs.mat.utfsm.cl/volumes/07/01/Giampaoli_etal(2016).pdf
    • NLM

      Giampaoli V, Tamura KA, Caro NP, Araujo LJS de. Prediction of a financial crisis in Latin American companies using the mixed logistic regression model [Internet]. Chilean Journal of Statistics. 2016 ; 7( 1): 31-41.[citado 2026 jan. 05 ] Available from: http://chjs.mat.utfsm.cl/volumes/07/01/Giampaoli_etal(2016).pdf
    • Vancouver

      Giampaoli V, Tamura KA, Caro NP, Araujo LJS de. Prediction of a financial crisis in Latin American companies using the mixed logistic regression model [Internet]. Chilean Journal of Statistics. 2016 ; 7( 1): 31-41.[citado 2026 jan. 05 ] Available from: http://chjs.mat.utfsm.cl/volumes/07/01/Giampaoli_etal(2016).pdf
  • Source: Frontiers in Systems Neuroscience. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      SATO, João Ricardo et al. Evaluation of pattern recognition and feature extraction methods in ADHD prediction. Frontiers in Systems Neuroscience, v. 6, p. 1-14, 2012Tradução . . Disponível em: https://doi.org/10.3389/fnsys.2012.00068. Acesso em: 05 jan. 2026.
    • APA

      Sato, J. R., Hoexter, M. Q., Fujita, A., & Rohde, L. A. (2012). Evaluation of pattern recognition and feature extraction methods in ADHD prediction. Frontiers in Systems Neuroscience, 6, 1-14. doi:10.3389/fnsys.2012.00068
    • NLM

      Sato JR, Hoexter MQ, Fujita A, Rohde LA. Evaluation of pattern recognition and feature extraction methods in ADHD prediction [Internet]. Frontiers in Systems Neuroscience. 2012 ; 6 1-14.[citado 2026 jan. 05 ] Available from: https://doi.org/10.3389/fnsys.2012.00068
    • Vancouver

      Sato JR, Hoexter MQ, Fujita A, Rohde LA. Evaluation of pattern recognition and feature extraction methods in ADHD prediction [Internet]. Frontiers in Systems Neuroscience. 2012 ; 6 1-14.[citado 2026 jan. 05 ] Available from: https://doi.org/10.3389/fnsys.2012.00068
  • Source: American Statistician. Unidade: IME

    Assunto: PESQUISA E PLANEJAMENTO ESTATÍSTICO

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      ELIAN, Silvia Nagib. Simple forms of the best linear unbiased predictor in the linear regression model. American Statistician, v. 54, n. 1, p. 25-28, 2000Tradução . . Disponível em: https://doi.org/10.2307/2685606. Acesso em: 05 jan. 2026.
    • APA

      Elian, S. N. (2000). Simple forms of the best linear unbiased predictor in the linear regression model. American Statistician, 54( 1), 25-28. doi:10.2307/2685606
    • NLM

      Elian SN. Simple forms of the best linear unbiased predictor in the linear regression model [Internet]. American Statistician. 2000 ; 54( 1): 25-28.[citado 2026 jan. 05 ] Available from: https://doi.org/10.2307/2685606
    • Vancouver

      Elian SN. Simple forms of the best linear unbiased predictor in the linear regression model [Internet]. American Statistician. 2000 ; 54( 1): 25-28.[citado 2026 jan. 05 ] Available from: https://doi.org/10.2307/2685606

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