ReP USP - Resultado da busca

Filtros : "INFERÊNCIA BAYESIANA" "Nigéria" Removidos: "Fisiologia Humana" "FCF002, GRU999" "Indexado no Current Contents" "IQ-QFL" "1981" "PROGRAMA DE COMPUTADOR" "Indexado no MathSciNet" "ANTIOXIDANTES" "Richieri-Costa, Antonio" "Panamá" "ncu" "BMJ Open" "MONOGRAFIA/LIVRO-ED/ORG" Limpar

Filtros

Artigo de periodico
Spatial modelling of the joint burden of malaria and anaemia co-morbidity in children: a bayesian geoadditive perspective (2022)
Gayawan, Ezra ; Egbon, Osafu Augustine ; Adebayo, Samson B
Source: Communications in Statistics : case studies, data analysis and applications. Unidade: INTER: ICMC -UFSCAR
Subjects: INFERÊNCIA BAYESIANA, PROCESSOS GAUSSIANOS, MALÁRIA, ANEMIA, CRIANÇAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 16 set. 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 set. 16 ] 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 set. 16 ] Available from: https://doi.org/10.1080/23737484.2022.2031345
Artigo de periodico
Spatial weighted analysis of malnutrition among children in Nigeria: a Bayesian approach (2021)
Egbon, Osafu Augustine ; Somo-Aina, Omodolapo; Gayawan, Ezra
Source: Statistics in Biosciences. Unidade: INTER: ICMC -UFSCAR
Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE SOBREVIVÊNCIA, POLUIÇÃO ATMOSFÉRICA, MONÓXIDO DE CARBONO, DESNUTRIÇÃO INFANTIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 16 set. 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 set. 16 ] 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 set. 16 ] Available from: https://doi.org/10.1007/s12561-021-09303-9

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