Forecasting number of births and sex ratio at birth in Iran using deep neural network and ARIMA: implications for policy evaluations
Crossref DOI link: https://doi.org/10.1007/s12546-024-09348-9
Published Online: 2024-10-04
Published Print: 2024-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Esmaeili, Nasibeh
Abbasi-Shavazi, Mohammad Jalal
Text and Data Mining valid from 2024-10-04
Version of Record valid from 2024-10-04
Article History
Accepted: 13 September 2024
First Online: 4 October 2024
Declarations
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: The authors have no competing interests to declare that are relevant to the content of this article.