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Curve fitting and modeling with splines using statistical variable selection techniquesThe successful application of statistical variable selection techniques to fit splines is demonstrated. Major emphasis is given to knot selection, but order determination is also discussed. Two FORTRAN backward elimination programs, using the B-spline basis, were developed. The program for knot elimination is compared in detail with two other spline-fitting methods and several statistical software packages. An example is also given for the two-variable case using a tensor product basis, with a theoretical discussion of the difficulties of their use.
Document ID
19830005637
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Smith, P. L.
(Old Dominion Univ. Norfolk, VA, United States)
Date Acquired
September 4, 2013
Publication Date
November 1, 1982
Publication Information
Publisher: NASA. Langley Research Center
Subject Category
Statistics And Probability
Report/Patent Number
NASA-CR-166034
NAS 1.26:166034
Report Number: NASA-CR-166034
Report Number: NAS 1.26:166034
Accession Number
83N13908
Funding Number(s)
CONTRACT_GRANT: NAG1-223
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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