Spline interpolation of demographic data

Author:

McNeil Donald R.1,Trussell T. Jamel2,Turner John C.3

Affiliation:

1. Department of Statistics, Princeton University, Princeton, New Jersey 08540

2. Office of Population Research, Princeton University, Princeton, New Jersey 08540

3. Deportment of Statistics, Princeton University, Princeton, New Jersey 08540

Abstract

Abstract 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.

Publisher

Duke University Press

Subject

Demography

Reference7 articles.

1. Evolution de la Fecondite en Europe Occidentale Depuis la Guerre;Festy;Population,1970

2. Introduction to Spline Functions;Greville,1969

3. Spline Functions and the Problem of Graduation;Schoenberg;Proceedings of the National Academy of Sciences,1964

4. Splines and Histograms;Schoenberg,1973

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