Filtros : "ANDRADE FILHO, MÁRIO DE CASTRO" "2023" "ICMC" Removidos: "Indexad no METADEX" "PESQUISA OPERACIONAL" "Rússia" "1986" "Actas" Limpar

Filtros



Refine with date range


  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: ICMC

    Subjects: VEROSSIMILHANÇA, ESTATÍSTICA SUFICIENTE, INFERÊNCIA ESTATÍSTICA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      GALEA ROJAS, Manuel Jesus e CASTRO, Mário de. Conditional likelihood inference in a heteroscedastic functional measurement error model. Chemometrics and Intelligent Laboratory Systems, v. 243, p. 1-6, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2023.105005. Acesso em: 09 nov. 2024.
    • APA

      Galea Rojas, M. J., & Castro, M. de. (2023). Conditional likelihood inference in a heteroscedastic functional measurement error model. Chemometrics and Intelligent Laboratory Systems, 243, 1-6. doi:10.1016/j.chemolab.2023.105005
    • NLM

      Galea Rojas MJ, Castro M de. Conditional likelihood inference in a heteroscedastic functional measurement error model [Internet]. Chemometrics and Intelligent Laboratory Systems. 2023 ; 243 1-6.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1016/j.chemolab.2023.105005
    • Vancouver

      Galea Rojas MJ, Castro M de. Conditional likelihood inference in a heteroscedastic functional measurement error model [Internet]. Chemometrics and Intelligent Laboratory Systems. 2023 ; 243 1-6.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1016/j.chemolab.2023.105005
  • Source: Communications in Statistics - Theory and Methods. Unidades: ESALQ, ICMC

    Subjects: ANÁLISE MULTIVARIADA, DADOS DE CONTAGEM, DISTRIBUIÇÃO BINOMIAL, MODELOS MATEMÁTICOS

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      FABIO, Lizandra C et al. Diagnostic tools for a multivariate negative binomial model for fitting correlated data with overdispersion. Communications in Statistics - Theory and Methods, v. 52, n. 6, p. 1833-1853, 2023Tradução . . Disponível em: https://doi.org/10.1080/03610926.2021.1939380. Acesso em: 09 nov. 2024.
    • APA

      Fabio, L. C., Villegas, C., Carrasco, J. M. F., & Castro, M. de. (2023). Diagnostic tools for a multivariate negative binomial model for fitting correlated data with overdispersion. Communications in Statistics - Theory and Methods, 52( 6), 1833-1853. doi:10.1080/03610926.2021.1939380
    • NLM

      Fabio LC, Villegas C, Carrasco JMF, Castro M de. Diagnostic tools for a multivariate negative binomial model for fitting correlated data with overdispersion [Internet]. Communications in Statistics - Theory and Methods. 2023 ; 52( 6): 1833-1853.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1080/03610926.2021.1939380
    • Vancouver

      Fabio LC, Villegas C, Carrasco JMF, Castro M de. Diagnostic tools for a multivariate negative binomial model for fitting correlated data with overdispersion [Internet]. Communications in Statistics - Theory and Methods. 2023 ; 52( 6): 1833-1853.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1080/03610926.2021.1939380

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024