Filtros : "maximum likelihood estimate" Limpar

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  • Source: Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA, REGRESSÃO LINEAR, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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    • ABNT

      SALASAR, Luis Ernesto B e LOUZADA, Francisco e LEITE, Jose Galvão. On the integrated maximum likelihood estimators for a closed population capture–recapture model with unequal capture probabilities. Statistics, n. 6, p. 1204-1220, 2015Tradução . . Disponível em: https://doi.org/10.1080/02331888.2014.960870. Acesso em: 25 jan. 2026.
    • APA

      Salasar, L. E. B., Louzada, F., & Leite, J. G. (2015). On the integrated maximum likelihood estimators for a closed population capture–recapture model with unequal capture probabilities. Statistics, ( 6), 1204-1220. doi:10.1080/02331888.2014.960870
    • NLM

      Salasar LEB, Louzada F, Leite JG. On the integrated maximum likelihood estimators for a closed population capture–recapture model with unequal capture probabilities [Internet]. Statistics. 2015 ;( 6): 1204-1220.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1080/02331888.2014.960870
    • Vancouver

      Salasar LEB, Louzada F, Leite JG. On the integrated maximum likelihood estimators for a closed population capture–recapture model with unequal capture probabilities [Internet]. Statistics. 2015 ;( 6): 1204-1220.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1080/02331888.2014.960870
  • Source: Communications in Statistics - Theory and Methods. Unidade: IME

    Assunto: MODELOS LINEARES GENERALIZADOS

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    • ABNT

      CORDEIRO, Gauss Moutinho e BARROSO, Lúcia Pereira e BOTTER, Denise Aparecida. Covariance matrix formula for generalized linear models with unknown dispersion. Communications in Statistics - Theory and Methods, v. 35, n. 1, p. 113-120, 2006Tradução . . Disponível em: https://doi.org/10.1080/03610920500439687. Acesso em: 25 jan. 2026.
    • APA

      Cordeiro, G. M., Barroso, L. P., & Botter, D. A. (2006). Covariance matrix formula for generalized linear models with unknown dispersion. Communications in Statistics - Theory and Methods, 35( 1), 113-120. doi:10.1080/03610920500439687
    • NLM

      Cordeiro GM, Barroso LP, Botter DA. Covariance matrix formula for generalized linear models with unknown dispersion [Internet]. Communications in Statistics - Theory and Methods. 2006 ; 35( 1): 113-120.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1080/03610920500439687
    • Vancouver

      Cordeiro GM, Barroso LP, Botter DA. Covariance matrix formula for generalized linear models with unknown dispersion [Internet]. Communications in Statistics - Theory and Methods. 2006 ; 35( 1): 113-120.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1080/03610920500439687
  • Source: Journal of Statistical Computation and Simulation. Unidade: IME

    Subjects: MODELOS LINEARES GENERALIZADOS, VEROSSIMILHANÇA

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    • ABNT

      BOTTER, Denise Aparecida e CORDEIRO, Gauss Moutinho. Improved estimators for generalized linear models with dispersion covariates. Journal of Statistical Computation and Simulation, v. 62, n. 1/2, p. 91-104, 1998Tradução . . Disponível em: https://doi.org/10.1080/00949659808811926. Acesso em: 25 jan. 2026.
    • APA

      Botter, D. A., & Cordeiro, G. M. (1998). Improved estimators for generalized linear models with dispersion covariates. Journal of Statistical Computation and Simulation, 62( 1/2), 91-104. doi:10.1080/00949659808811926
    • NLM

      Botter DA, Cordeiro GM. Improved estimators for generalized linear models with dispersion covariates [Internet]. Journal of Statistical Computation and Simulation. 1998 ; 62( 1/2): 91-104.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1080/00949659808811926
    • Vancouver

      Botter DA, Cordeiro GM. Improved estimators for generalized linear models with dispersion covariates [Internet]. Journal of Statistical Computation and Simulation. 1998 ; 62( 1/2): 91-104.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1080/00949659808811926
  • Source: Statistics & Probability Letters. Unidade: IME

    Subjects: EXPANSÃO ASSINTÓTICA, VEROSSIMILHANÇA

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    • ABNT

      FERRARI, Sílvia Lopes de Paula et al. Second- and third-order bias reduction for one-parameter family models. Statistics & Probability Letters, v. 30, n. 4, p. 339-345, 1996Tradução . . Disponível em: https://doi.org/10.1016/S0167-7152(95)00237-5. Acesso em: 25 jan. 2026.
    • APA

      Ferrari, S. L. de P., Botter, D. A., Cordeiro, G. M., & Cribari Neto, F. (1996). Second- and third-order bias reduction for one-parameter family models. Statistics & Probability Letters, 30( 4), 339-345. doi:10.1016/S0167-7152(95)00237-5
    • NLM

      Ferrari SL de P, Botter DA, Cordeiro GM, Cribari Neto F. Second- and third-order bias reduction for one-parameter family models [Internet]. Statistics & Probability Letters. 1996 ; 30( 4): 339-345.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1016/S0167-7152(95)00237-5
    • Vancouver

      Ferrari SL de P, Botter DA, Cordeiro GM, Cribari Neto F. Second- and third-order bias reduction for one-parameter family models [Internet]. Statistics & Probability Letters. 1996 ; 30( 4): 339-345.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1016/S0167-7152(95)00237-5

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