Spline interpolation of demographic oata

Donald R. McNeil*, T. Jamel Trullell, John C. Turner

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

62 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)245-252
Number of pages8
Issue number2
Publication statusPublished - May 1977
Externally publishedYes


Dive into the research topics of 'Spline interpolation of demographic oata'. Together they form a unique fingerprint.

Cite this