Accession Number:
ADA001128
Title:
Spline Functions in Data Analysis.
Descriptive Note:
Technical rept.,
Corporate Author:
PRINCETON UNIV N J DEPT OF STATISTICS
Personal Author(s):
Report Date:
1974-10-01
Pagination or Media Count:
19.0
Abstract:
This paper discusses the approximation of non-exact data by smooth functions. It is shown that optimal approximations for a large class of criteria are spline functions, and that a sub-class of these are resistant to the presence of gross errors in the data. A computational procedure for obtaining the optimal splines is described and illustrated on a set of demographic data. A listing of an APL program implementing the procedure is included.
Descriptors:
Subject Categories:
- Sociology and Law
- Statistics and Probability