Open Access
The Use of Multi-Dimensional Cubic Spline Functions for Regression and Smoothing.
W. J. Whitten
- Vol. 3, pp 81-88
Reads0
Chats0
About:
The article was published on 1971-01-01 and is currently open access. It has received 13 citations till now. The article focuses on the topics: Smoothing spline & Hermite spline.read more
Citations
More filters
Journal ArticleDOI
Spline Functions in Data Analysis
TL;DR: The use of spline functions in the analysis of empirical two-dimensional data (y i, x i) is described in this paper, where the authors define spline function as piecewise polynomials with continuity conditions, which give them unique properties as empirical function.
ReportDOI
Fitting surfaces to scattered data
TL;DR: A variety of numerical methods for fitting a function to data given at a set of points scattered throughout a domain in the plane are surveyed in this article, including polynomials, spline functions, and rational functions.
Book
Spline Functions: Computational Methods
TL;DR: This book describes in detail the key algorithms needed for computing with spline functions and illustrates their use in solving several basic problems in numerical analysis, including function approximation, numerical quadrature, data fitting, and the numerical solution of PDEs.
Journal ArticleDOI
Approximate regression models and splines
TL;DR: The literature pertaining to splines in regression analysis is reviewed in this paper, where the concepts of fixed and variable knot spline regression are developed and corresponding inferential procedures are considered.
Journal ArticleDOI
Identification of MIMO Hammerstein systems using cardinal spline functions
TL;DR: In this article, a new approach to identify multivariable Hammerstein systems is proposed by using cardinal cubic spline functions to model the static nonlinearities, which is effective in modelling processes with hard and/or coupled nonlinearity.