, Volume 14, Issue 2, pp 245–252 | Cite as

Spline interpolation of demographic oata

  • Donald R. McNeil
  • T. Jamel Trullell
  • John C. Turner


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.


Boundary Point Spline Function Spline Interpolation Smoothness Property Fertility Schedule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Population Association of America 1977

Authors and Affiliations

  • Donald R. McNeil
    • 1
  • T. Jamel Trullell
    • 2
  • John C. Turner
    • 3
  1. 1.Department of StatisticsPrinceton UniversityPrinceton
  2. 2.Office of Population ResearchPrinceton UniversityPrinceton
  3. 3.Deportment of StatisticsPrinceton UniversityPrinceton

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