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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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: 03 nov. 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:10.1080/23737484.2022.2031345NLM
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 nov. 03 ] Available from: https://doi.org/10.1080/23737484.2022.2031345Vancouver
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 nov. 03 ] Available from: https://doi.org/10.1080/23737484.2022.2031345