Filtros : "Communications in Statistics. Theory and Methods" "2000" Limpar

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  • Source: Communications in Statistics. Theory and Methods. Unidade: IME

    Assunto: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

    Acesso à fonteDOIHow to cite
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    • ABNT

      ANDRÉ, Carmen Diva Saldiva de et al. Coefficients of determinations for variable selection in the MSAE regression. Communications in Statistics. Theory and Methods, v. 29, n. 3, p. 623-642, 2000Tradução . . Disponível em: https://doi.org/10.1080/03610920008832506. Acesso em: 12 nov. 2025.
    • APA

      André, C. D. S. de, Elian, S. N., Narula, S. C., & Tavares, R. A. (2000). Coefficients of determinations for variable selection in the MSAE regression. Communications in Statistics. Theory and Methods, 29( 3), 623-642. doi:10.1080/03610920008832506
    • NLM

      André CDS de, Elian SN, Narula SC, Tavares RA. Coefficients of determinations for variable selection in the MSAE regression [Internet]. Communications in Statistics. Theory and Methods. 2000 ; 29( 3): 623-642.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1080/03610920008832506
    • Vancouver

      André CDS de, Elian SN, Narula SC, Tavares RA. Coefficients of determinations for variable selection in the MSAE regression [Internet]. Communications in Statistics. Theory and Methods. 2000 ; 29( 3): 623-642.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1080/03610920008832506
  • Source: Communications in Statistics. Theory and Methods. Unidade: IME

    Subjects: INFERÊNCIA ESTATÍSTICA, MODELOS LINEARES GENERALIZADOS

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    • ABNT

      GIMENEZ, Patrícia Cristina e COLOSIMO, Enrico Antônio e BOLFARINE, Heleno. Asymptotic relative efficiency of wald tests in measurement error models. Communications in Statistics. Theory and Methods, v. 29, n. 3, p. 549-564, 2000Tradução . . Disponível em: https://doi.org/10.1080/03610920008832501. Acesso em: 12 nov. 2025.
    • APA

      Gimenez, P. C., Colosimo, E. A., & Bolfarine, H. (2000). Asymptotic relative efficiency of wald tests in measurement error models. Communications in Statistics. Theory and Methods, 29( 3), 549-564. doi:10.1080/03610920008832501
    • NLM

      Gimenez PC, Colosimo EA, Bolfarine H. Asymptotic relative efficiency of wald tests in measurement error models [Internet]. Communications in Statistics. Theory and Methods. 2000 ; 29( 3): 549-564.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1080/03610920008832501
    • Vancouver

      Gimenez PC, Colosimo EA, Bolfarine H. Asymptotic relative efficiency of wald tests in measurement error models [Internet]. Communications in Statistics. Theory and Methods. 2000 ; 29( 3): 549-564.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1080/03610920008832501
  • Source: Communications in Statistics. Theory and Methods. Unidade: IME

    Subjects: TESTES DE HIPÓTESES, REGRESSÃO LINEAR

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    • ABNT

      AUBIN, Elisete da Conceição Quintaneiro e CORDEIRO, Gauss Moutinho. Bartlett-corrected test for normal linear models when the error covariance matrix is nonscalar. Communications in Statistics. Theory and Methods, v. 29, n. 11, p. 2405-2426, 2000Tradução . . Disponível em: https://doi.org/10.1080/03610920008832613. Acesso em: 12 nov. 2025.
    • APA

      Aubin, E. da C. Q., & Cordeiro, G. M. (2000). Bartlett-corrected test for normal linear models when the error covariance matrix is nonscalar. Communications in Statistics. Theory and Methods, 29( 11), 2405-2426. doi:10.1080/03610920008832613
    • NLM

      Aubin E da CQ, Cordeiro GM. Bartlett-corrected test for normal linear models when the error covariance matrix is nonscalar [Internet]. Communications in Statistics. Theory and Methods. 2000 ; 29( 11): 2405-2426.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1080/03610920008832613
    • Vancouver

      Aubin E da CQ, Cordeiro GM. Bartlett-corrected test for normal linear models when the error covariance matrix is nonscalar [Internet]. Communications in Statistics. Theory and Methods. 2000 ; 29( 11): 2405-2426.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1080/03610920008832613
  • Source: Communications in Statistics. Theory and Methods. Unidade: IME

    Assunto: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

    Acesso à fonteDOIHow to cite
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    • ABNT

      ELIAN, Silvia Nagib e ANDRÉ, Carmen Diva Saldiva de e NARULA, Subhash Chander. Influence measure for the L-1 regression. Communications in Statistics. Theory and Methods, v. 29, n. 4, p. 837-849, 2000Tradução . . Disponível em: https://doi.org/10.1080/03610920008832518. Acesso em: 12 nov. 2025.
    • APA

      Elian, S. N., André, C. D. S. de, & Narula, S. C. (2000). Influence measure for the L-1 regression. Communications in Statistics. Theory and Methods, 29( 4), 837-849. doi:10.1080/03610920008832518
    • NLM

      Elian SN, André CDS de, Narula SC. Influence measure for the L-1 regression [Internet]. Communications in Statistics. Theory and Methods. 2000 ; 29( 4): 837-849.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1080/03610920008832518
    • Vancouver

      Elian SN, André CDS de, Narula SC. Influence measure for the L-1 regression [Internet]. Communications in Statistics. Theory and Methods. 2000 ; 29( 4): 837-849.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1080/03610920008832518

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