Spline interpolation of demographic oata

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

doi:10.2307/2060581

Spline interpolation of demographic oata

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

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

65 Citations (Scopus)

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.

Original language	English
Pages (from-to)	245-252
Number of pages	8
Journal	Demography
Volume	14
Issue number	2
DOIs	https://doi.org/10.2307/2060581
Publication status	Published - May 1977
Externally published	Yes

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title = "Spline interpolation of demographic oata",

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.",

author = "McNeil, {Donald R.} and Trullell, {T. Jamel} and Turner, {John C.}",

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N2 - 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.

AB - 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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Spline interpolation of demographic oata

Abstract

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