EconPapers    
Economics at your fingertips  
 

A fast compact algorithm for cubic spline smoothing

Howard L. Weinert

Computational Statistics & Data Analysis, 2009, vol. 53, issue 4, 932-940

Abstract: An efficient algorithm is presented for computing discrete or continuous cubic smoothing splines with uniformly spaced and uniformly weighted measurements. The algorithm computes both the spline values and the generalized cross-validation score. Execution time and memory use are reduced by carefully exploiting the problem's rich structure. The frequency domain properties of the steady-state cubic spline smoother are also examined.

Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-9473(08)00504-5
Full text for ScienceDirect subscribers only.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:53:y:2009:i:4:p:932-940

Access Statistics for this article

Computational Statistics & Data Analysis is currently edited by S.P. Azen

More articles in Computational Statistics & Data Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:csdana:v:53:y:2009:i:4:p:932-940