| Spline interpolation of demographic data. | |
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MedLine Citation:
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PMID: 858435 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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There are many problems in demography involving the smoothing or interpolation of data. Usually a solution is obtained by fitting a polynomial or a suitable model curve. Often, however, fitting a spline proves to be a simple recourse. Splines, were invented nearly 30 years ago and have been shown to have desirable properties. Although spline functions are by no means unknown to demographers, no simple and direct explanation of their application exists. We hope to remedy this deficiency with this expository piece. |
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Authors:
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D R McNEIL; T J Trussell; J C Turner |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Demography Volume: 14 ISSN: 0070-3370 ISO Abbreviation: Demography Publication Date: 1977 May |
Date Detail:
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Created Date: 1977-06-30 Completed Date: 1977-06-30 Revised Date: 2000-12-18 |
Medline Journal Info:
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Nlm Unique ID: 0226703 Medline TA: Demography Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 245-52 Citation Subset: IM |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Demography* Mathematics* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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