Time series prediction of under-five mortality rates for Nigeria: comparative analysis of artificial neural networks, Holt-Winters exponential smoothing and autoregressive integrated moving average models

BACKGROUND: Accurate forecasting model for under-five mortality rate (U5MR) is essential for policy actions and planning. While studies have used traditional time series modeling techniques (e.g., autoregressive integrated moving average (ARIMA) and Holt-Winters smoothing exponential methods), their...

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Detalles Bibliográficos
Autores principales: Adeyinka, Daniel Adedayo, Muhajarine, Nazeem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712624/
https://www.ncbi.nlm.nih.gov/pubmed/33267817
http://dx.doi.org/10.1186/s12874-020-01159-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712624/
https://www.ncbi.nlm.nih.gov/pubmed/33267817
http://dx.doi.org/10.1186/s12874-020-01159-9

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