Filtros : "CRIANÇAS" "Federal University of Technology" Limpar

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  • Source: Spatial and Spatio-temporal Epidemiology. Unidade: INTER: ICMC -UFSCAR

    Subjects: REGRESSÃO LINEAR, INFECÇÕES RESPIRATÓRIAS, DIARREIA, FEBRE, MORBIDADE, FATORES SOCIOECONÔMICOS, CRIANÇAS

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      GAYAWAN, Ezra e EGBON, Osafu Augustine e ADEGBOYE, Oyelola. Copula based trivariate spatial modeling of childhood illnesses in Western African countries. Spatial and Spatio-temporal Epidemiology, v. 46, p. 1-12, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.sste.2023.100591. Acesso em: 17 maio 2024.
    • APA

      Gayawan, E., Egbon, O. A., & Adegboye, O. (2023). Copula based trivariate spatial modeling of childhood illnesses in Western African countries. Spatial and Spatio-temporal Epidemiology, 46, 1-12. doi:10.1016/j.sste.2023.100591
    • NLM

      Gayawan E, Egbon OA, Adegboye O. Copula based trivariate spatial modeling of childhood illnesses in Western African countries [Internet]. Spatial and Spatio-temporal Epidemiology. 2023 ; 46 1-12.[citado 2024 maio 17 ] Available from: https://doi.org/10.1016/j.sste.2023.100591
    • Vancouver

      Gayawan E, Egbon OA, Adegboye O. Copula based trivariate spatial modeling of childhood illnesses in Western African countries [Internet]. Spatial and Spatio-temporal Epidemiology. 2023 ; 46 1-12.[citado 2024 maio 17 ] Available from: https://doi.org/10.1016/j.sste.2023.100591
  • Source: Spatial Statistics. Unidade: INTER: ICMC -UFSCAR

    Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC, DESENVOLVIMENTO INFANTIL, CRIANÇAS

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    • ABNT

      GAYAWAN, Ezra e EGBON, Osafu Augustine. Spatio-temporal mapping of stunting and wasting in nigerian children: a bivariate mixture modeling. Spatial Statistics, v. 58, p. 1-21, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.spasta.2023.100785. Acesso em: 17 maio 2024.
    • APA

      Gayawan, E., & Egbon, O. A. (2023). Spatio-temporal mapping of stunting and wasting in nigerian children: a bivariate mixture modeling. Spatial Statistics, 58, 1-21. doi:10.1016/j.spasta.2023.100785
    • NLM

      Gayawan E, Egbon OA. Spatio-temporal mapping of stunting and wasting in nigerian children: a bivariate mixture modeling [Internet]. Spatial Statistics. 2023 ; 58 1-21.[citado 2024 maio 17 ] Available from: https://doi.org/10.1016/j.spasta.2023.100785
    • Vancouver

      Gayawan E, Egbon OA. Spatio-temporal mapping of stunting and wasting in nigerian children: a bivariate mixture modeling [Internet]. Spatial Statistics. 2023 ; 58 1-21.[citado 2024 maio 17 ] Available from: https://doi.org/10.1016/j.spasta.2023.100785
  • Source: Communications in Statistics : case studies, data analysis and applications. Unidade: INTER: ICMC -UFSCAR

    Subjects: INFERÊNCIA BAYESIANA, PROCESSOS GAUSSIANOS, MALÁRIA, ANEMIA, CRIANÇAS

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    • ABNT

      GAYAWAN, Ezra e EGBON, Osafu Augustine e ADEBAYO, Samson B. Spatial modelling of the joint burden of malaria and anaemia co-morbidity in children: a bayesian geoadditive perspective. Communications in Statistics : case studies, data analysis and applications, v. 8, n. 2, p. 264-281, 2022Tradução . . Disponível em: https://doi.org/10.1080/23737484.2022.2031345. Acesso em: 17 maio 2024.
    • APA

      Gayawan, E., Egbon, O. A., & Adebayo, S. B. (2022). Spatial modelling of the joint burden of malaria and anaemia co-morbidity in children: a bayesian geoadditive perspective. Communications in Statistics : case studies, data analysis and applications, 8( 2), 264-281. doi:10.1080/23737484.2022.2031345
    • NLM

      Gayawan E, Egbon OA, Adebayo SB. Spatial modelling of the joint burden of malaria and anaemia co-morbidity in children: a bayesian geoadditive perspective [Internet]. Communications in Statistics : case studies, data analysis and applications. 2022 ; 8( 2): 264-281.[citado 2024 maio 17 ] Available from: https://doi.org/10.1080/23737484.2022.2031345
    • Vancouver

      Gayawan E, Egbon OA, Adebayo SB. Spatial modelling of the joint burden of malaria and anaemia co-morbidity in children: a bayesian geoadditive perspective [Internet]. Communications in Statistics : case studies, data analysis and applications. 2022 ; 8( 2): 264-281.[citado 2024 maio 17 ] Available from: https://doi.org/10.1080/23737484.2022.2031345

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