Document Detail


Spline interpolation of demographic data.
MedLine Citation:
PMID:  858435     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
D R McNEIL; T J Trussell; J C Turner
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Demography     Volume:  14     ISSN:  0070-3370     ISO Abbreviation:  Demography     Publication Date:  1977 May 
Date Detail:
Created Date:  1977-06-30     Completed Date:  1977-06-30     Revised Date:  2000-12-18    
Medline Journal Info:
Nlm Unique ID:  0226703     Medline TA:  Demography     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  245-52     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Demography*
Mathematics*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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