Filtros : "INFERÊNCIA BAYESIANA" "Nigéria" Removidos: "Fisiologia Humana" "FCF002, GRU999" "Indexado no Current Contents" "IQ-QFL" "1981" "PROGRAMA DE COMPUTADOR" "Panamá" "ncu" "Financiado pela Fred Hollows Foundation" "MONOGRAFIA/LIVRO-ED/ORG" Limpar

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  • Source: Journal of Applied Statistics. Unidade: INTER: ICMC -UFSCAR

    Subjects: INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR, ESTATÍSTICA APLICADA, FATORES SOCIOECONÔMICOS, DIAGNÓSTICO PRÉ-NATAL

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    • ABNT

      EGBON, Osafu Augustine e GAYAWAN, Ezra. Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures. Journal of Applied Statistics, v. 51, n. 5, p. 866-890, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2164561. Acesso em: 12 ago. 2024.
    • APA

      Egbon, O. A., & Gayawan, E. (2024). Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures. Journal of Applied Statistics, 51( 5), 866-890. doi:10.1080/02664763.2022.2164561
    • NLM

      Egbon OA, Gayawan E. Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 866-890.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2022.2164561
    • Vancouver

      Egbon OA, Gayawan E. Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 866-890.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2022.2164561
  • 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: 12 ago. 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 ago. 12 ] 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 ago. 12 ] 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: 12 ago. 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 ago. 12 ] 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 ago. 12 ] Available from: https://doi.org/10.1080/23737484.2022.2031345
  • Source: Statistics in Biosciences. Unidade: INTER: ICMC -UFSCAR

    Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE SOBREVIVÊNCIA, POLUIÇÃO ATMOSFÉRICA, MONÓXIDO DE CARBONO, DESNUTRIÇÃO INFANTIL

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    • ABNT

      EGBON, Osafu Augustine e SOMO-AINA, Omodolapo e GAYAWAN, Ezra. Spatial weighted analysis of malnutrition among children in Nigeria: a Bayesian approach. Statistics in Biosciences, v. 13, n. 3, p. 495-523, 2021Tradução . . Disponível em: https://doi.org/10.1007/s12561-021-09303-9. Acesso em: 12 ago. 2024.
    • APA

      Egbon, O. A., Somo-Aina, O., & Gayawan, E. (2021). Spatial weighted analysis of malnutrition among children in Nigeria: a Bayesian approach. Statistics in Biosciences, 13( 3), 495-523. doi:10.1007/s12561-021-09303-9
    • NLM

      Egbon OA, Somo-Aina O, Gayawan E. Spatial weighted analysis of malnutrition among children in Nigeria: a Bayesian approach [Internet]. Statistics in Biosciences. 2021 ; 13( 3): 495-523.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1007/s12561-021-09303-9
    • Vancouver

      Egbon OA, Somo-Aina O, Gayawan E. Spatial weighted analysis of malnutrition among children in Nigeria: a Bayesian approach [Internet]. Statistics in Biosciences. 2021 ; 13( 3): 495-523.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1007/s12561-021-09303-9

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