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Time series prediction of under-five mortality rates for Nigeria: comparative analysis of artificial...

Time series prediction of under-five mortality rates for Nigeria: comparative analysis of artificial...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_964e6cab3c8d41fabd3331919b1384f5

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

About this item

Full title

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

Publisher

England: BioMed Central Ltd

Journal title

BMC medical research methodology, 2020-12, Vol.20 (1), p.292-292, Article 292

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

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 appropriateness to predict noisy and non-linear data (such as...

Alternative Titles

Full title

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

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_964e6cab3c8d41fabd3331919b1384f5

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_964e6cab3c8d41fabd3331919b1384f5

Other Identifiers

ISSN

1471-2288

E-ISSN

1471-2288

DOI

10.1186/s12874-020-01159-9

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