Spline interpolation of demographic data | Zendy

Donald R. McNeil | Zendy; T. Jamel Trussell | Zendy; John Turner | Zendy

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Spline interpolation of demographic data

Author(s) -

Donald R. McNeil,

T. Jamel Trussell,

John Turner

Publication year - 1977

Publication title -

demography

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.099

H-Index - 129

eISSN - 1533-7790

pISSN - 0070-3370

DOI - 10.2307/2060581

Subject(s) - spline (mechanical) , econometrics , interpolation (computer graphics) , statistics , spline interpolation , mathematics , geography , demography , computer science , artificial intelligence , sociology , engineering , bilinear interpolation , motion (physics) , structural engineering

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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