Filtros : "Indexado no ISI Web of Knowledge" "ANÁLISE MULTIVARIADA" Removido: "Mathematical Programming" Limpar

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  • Source: Annals of Surgical Oncology. Unidade: FM

    Subjects: CARCINOMA DE CÉLULAS ESCAMOSAS, NEOPLASIAS BUCAIS, ANÁLISE MULTIVARIADA, RECIDIVA LOCAL DE NEOPLASIA, ESTADIAMENTO DE NEOPLASIAS

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    • ABNT

      AMIT, M. et al. Clinical Nodal Stage is a Significant Predictor of Outcome in Patients with Oral Cavity Squamous Cell Carcinoma and Pathologically Negative Neck Metastases: Results of the International Consortium for Outcome Research. Annals of Surgical Oncology, v. 20, n. 11, p. 3575-3581 2013, 2013Tradução . . Disponível em: http://link.springer.com/article/10.1245%2Fs10434-013-3044-0. Acesso em: 06 dez. 2025.
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      Amit, M., Yen, T. C., Liao, C. T., Binenbaum, Y., Chaturvedi, P., Agarwal, J. P., et al. (2013). Clinical Nodal Stage is a Significant Predictor of Outcome in Patients with Oral Cavity Squamous Cell Carcinoma and Pathologically Negative Neck Metastases: Results of the International Consortium for Outcome Research. Annals of Surgical Oncology, 20( 11), 3575-3581 2013. doi:10.1245/s10434-013-3044-0
    • NLM

      Amit M, Yen TC, Liao CT, Binenbaum Y, Chaturvedi P, Agarwal JP, Kowalski LP, Ebrahimi A, Clark JR, Cernea CR, Brandao SJ, Kreppel M, Zöller J, Fliss D, Bachar G, Shpitzer T, Bolzoni VA, Patel PR, Jonnalagadda S, Robbins KT, Shah JP, Patel SG, Gil Z. Clinical Nodal Stage is a Significant Predictor of Outcome in Patients with Oral Cavity Squamous Cell Carcinoma and Pathologically Negative Neck Metastases: Results of the International Consortium for Outcome Research [Internet]. Annals of Surgical Oncology. 2013 ; 20( 11): 3575-3581 2013.[citado 2025 dez. 06 ] Available from: http://link.springer.com/article/10.1245%2Fs10434-013-3044-0
    • Vancouver

      Amit M, Yen TC, Liao CT, Binenbaum Y, Chaturvedi P, Agarwal JP, Kowalski LP, Ebrahimi A, Clark JR, Cernea CR, Brandao SJ, Kreppel M, Zöller J, Fliss D, Bachar G, Shpitzer T, Bolzoni VA, Patel PR, Jonnalagadda S, Robbins KT, Shah JP, Patel SG, Gil Z. Clinical Nodal Stage is a Significant Predictor of Outcome in Patients with Oral Cavity Squamous Cell Carcinoma and Pathologically Negative Neck Metastases: Results of the International Consortium for Outcome Research [Internet]. Annals of Surgical Oncology. 2013 ; 20( 11): 3575-3581 2013.[citado 2025 dez. 06 ] Available from: http://link.springer.com/article/10.1245%2Fs10434-013-3044-0
  • 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: 06 dez. 2025.
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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
    • 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 2025 dez. 06 ] 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 2025 dez. 06 ] Available from: https://doi.org/10.1080/00949655.2011.643410
  • Source: Statistics & Probability Letters. Unidade: IME

    Assunto: ANÁLISE MULTIVARIADA

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      MAGALHÃES, Tiago Maia e BOTTER, Denise Aparecida e SANDOVAL, Monica Carneiro. Asymptotic skewness for the beta regression model. Statistics & Probability Letters, v. 83, n. 10, p. 2236-2241, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.spl.2013.06.011. Acesso em: 06 dez. 2025.
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      Magalhães, T. M., Botter, D. A., & Sandoval, M. C. (2013). Asymptotic skewness for the beta regression model. Statistics & Probability Letters, 83( 10), 2236-2241. doi:10.1016/j.spl.2013.06.011
    • NLM

      Magalhães TM, Botter DA, Sandoval MC. Asymptotic skewness for the beta regression model [Internet]. Statistics & Probability Letters. 2013 ;83( 10): 2236-2241.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1016/j.spl.2013.06.011
    • Vancouver

      Magalhães TM, Botter DA, Sandoval MC. Asymptotic skewness for the beta regression model [Internet]. Statistics & Probability Letters. 2013 ;83( 10): 2236-2241.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1016/j.spl.2013.06.011
  • Source: Information Sciences. An International Journal. Unidade: IME

    Assunto: ANÁLISE MULTIVARIADA

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    • ABNT

      MARTINS JÚNIOR, David Correa et al. Signal propagation in Bayesian networks and its relationship with intrinsically multivariate predictive variables. Information Sciences. An International Journal, v. 225, p. 18-34, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2012.10.027. Acesso em: 06 dez. 2025.
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      Martins Júnior, D. C., de Oliveira, E. A., Braga-Neto, U. M., Hashimoto, R. F., & César Júnior, R. M. (2013). Signal propagation in Bayesian networks and its relationship with intrinsically multivariate predictive variables. Information Sciences. An International Journal, 225, 18-34. doi:10.1016/j.ins.2012.10.027
    • NLM

      Martins Júnior DC, de Oliveira EA, Braga-Neto UM, Hashimoto RF, César Júnior RM. Signal propagation in Bayesian networks and its relationship with intrinsically multivariate predictive variables [Internet]. Information Sciences. An International Journal. 2013 ; 225 18-34.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1016/j.ins.2012.10.027
    • Vancouver

      Martins Júnior DC, de Oliveira EA, Braga-Neto UM, Hashimoto RF, César Júnior RM. Signal propagation in Bayesian networks and its relationship with intrinsically multivariate predictive variables [Internet]. Information Sciences. An International Journal. 2013 ; 225 18-34.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1016/j.ins.2012.10.027
  • Source: Journal of Multivariate analysis. Unidade: IME

    Assunto: ANÁLISE MULTIVARIADA

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      PATRIOTA, Alexandre Galvão e BOLFARINE, Heleno e ARELLANO-VALLE, Reinaldo Boris. A multivariate ultrastructural errors-in-variables model with equation error. Journal of Multivariate analysis, v. 102, n. 2, p. 386-392, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.jmva.2010.08.013. Acesso em: 06 dez. 2025.
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      Patriota, A. G., Bolfarine, H., & Arellano-Valle, R. B. (2011). A multivariate ultrastructural errors-in-variables model with equation error. Journal of Multivariate analysis, 102( 2), 386-392. doi:10.1016/j.jmva.2010.08.013
    • NLM

      Patriota AG, Bolfarine H, Arellano-Valle RB. A multivariate ultrastructural errors-in-variables model with equation error [Internet]. Journal of Multivariate analysis. 2011 ; 102( 2): 386-392.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1016/j.jmva.2010.08.013
    • Vancouver

      Patriota AG, Bolfarine H, Arellano-Valle RB. A multivariate ultrastructural errors-in-variables model with equation error [Internet]. Journal of Multivariate analysis. 2011 ; 102( 2): 386-392.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1016/j.jmva.2010.08.013
  • Source: Journal of Applied Statistics. Unidade: IME

    Assunto: ANÁLISE MULTIVARIADA

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      NOBRE, Juvêncio Santos e SINGER, Júlio da Motta. Leverage analysis for linear mixed models. Journal of Applied Statistics, v. 38, n. 5, p. 1063-1072, 2011Tradução . . Disponível em: https://doi.org/10.1080/02664761003759016. Acesso em: 06 dez. 2025.
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      Nobre, J. S., & Singer, J. da M. (2011). Leverage analysis for linear mixed models. Journal of Applied Statistics, 38( 5), 1063-1072. doi:10.1080/02664761003759016
    • NLM

      Nobre JS, Singer J da M. Leverage analysis for linear mixed models [Internet]. Journal of Applied Statistics. 2011 ; 38( 5): 1063-1072.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1080/02664761003759016
    • Vancouver

      Nobre JS, Singer J da M. Leverage analysis for linear mixed models [Internet]. Journal of Applied Statistics. 2011 ; 38( 5): 1063-1072.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1080/02664761003759016
  • Source: Journal of Statistical Planning and Inference. Unidades: IME, EACH

    Assunto: ANÁLISE MULTIVARIADA

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      KOLEV, Nikolai e SALINAS, Delhi Teresa Paiva. Copula-based regression models: A survey. Journal of Statistical Planning and Inference, v. no 2009, n. 11(special issue), p. 3847-3856, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.jspi.2009.05.023. Acesso em: 06 dez. 2025.
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      Kolev, N., & Salinas, D. T. P. (2009). Copula-based regression models: A survey. Journal of Statistical Planning and Inference, no 2009( 11(special issue), 3847-3856. doi:10.1016/j.jspi.2009.05.023
    • NLM

      Kolev N, Salinas DTP. Copula-based regression models: A survey [Internet]. Journal of Statistical Planning and Inference. 2009 ; no 2009( 11(special issue): 3847-3856.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1016/j.jspi.2009.05.023
    • Vancouver

      Kolev N, Salinas DTP. Copula-based regression models: A survey [Internet]. Journal of Statistical Planning and Inference. 2009 ; no 2009( 11(special issue): 3847-3856.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1016/j.jspi.2009.05.023
  • Source: Journal of Neuroscience Methods. Unidades: IME, FM

    Subjects: NEUROCIÊNCIAS, ANÁLISE MULTIVARIADA

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      SATO, João Ricardo et al. The impact of functional connectivity changes on support vector machines mapping of fMRI data. Journal of Neuroscience Methods, v. 172, n. 1, p. 94-104, 2008Tradução . . Disponível em: https://doi.org/10.1016/j.jneumeth.2008.04.008. Acesso em: 06 dez. 2025.
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      Sato, J. R., Mourão-Miranda, J., Martin, M. da G. M., Amaro Jr., E., Morettin, P. A., & Brammer, M. J. (2008). The impact of functional connectivity changes on support vector machines mapping of fMRI data. Journal of Neuroscience Methods, 172( 1), 94-104. doi:10.1016/j.jneumeth.2008.04.008
    • NLM

      Sato JR, Mourão-Miranda J, Martin M da GM, Amaro Jr. E, Morettin PA, Brammer MJ. The impact of functional connectivity changes on support vector machines mapping of fMRI data [Internet]. Journal of Neuroscience Methods. 2008 ; 172( 1): 94-104.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1016/j.jneumeth.2008.04.008
    • Vancouver

      Sato JR, Mourão-Miranda J, Martin M da GM, Amaro Jr. E, Morettin PA, Brammer MJ. The impact of functional connectivity changes on support vector machines mapping of fMRI data [Internet]. Journal of Neuroscience Methods. 2008 ; 172( 1): 94-104.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1016/j.jneumeth.2008.04.008

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