Multivariate regression splines

Lin-Ann Chen

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Multivariate regression splines of arbitrary order assuming known knots using the additional function are developed. Model description and possible parameter tests for obtaining regression splines are also stated in detail for the triplicate case. A simulation study of drawn data from the Lubricant nonlinear regression model, where “Lubricant” is referred to lubricant data that we use in application, to compare the mean squares errors for the multivariate regression spline models and the multivariate polynomial
models show the need of employing the multivariate regression splines in the approximation of the nonlinear regression models.
Original languageEnglish
Pages (from-to)71-82
Number of pages12
JournalComputational Statistics and Data Analysis
Volume26
Issue number1
StatePublished - 6 Nov 1997

Keywords

  • multivariate regression spline
  • piecewise polynomial

Fingerprint Dive into the research topics of 'Multivariate regression splines'. Together they form a unique fingerprint.

Cite this