Predicting of elderly population structure and density by a novel grey fractional-order model with theta residual optimization: a case study of Shanghai City, China
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Predicting of elderly population structure and density by a novel grey fractional-order model with theta residual optimization: a case study of Shanghai City, China ; volume:23 ; number:1 ; day:16 ; month:9 ; year:2023 ; pages:1-24 ; date:12.2023
BMC geriatrics ; 23, Heft 1 (16.9.2023), 1-24, 12.2023
- Creator
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Guo, Xiaojun
Li, Jiaxin
Zhu, Xinyao
Yang, Yingjie
Jin, Jingliang
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12877-023-04197-2
- URN
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urn:nbn:de:101:1-2024013114405581166873
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:22 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Guo, Xiaojun
- Li, Jiaxin
- Zhu, Xinyao
- Yang, Yingjie
- Jin, Jingliang
- SpringerLink (Online service)
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