| PDF (3MB) |
- URN to cite this document:
- urn:nbn:de:bvb:355-epub-314507
- DOI to cite this document:
- 10.5283/epub.31450
Abstract
Splines constitute an interesting way to flexibly estimate a nonlinear relationship between several covariates and a response variable using linear regression techniques. The popularity of splines is due to their easy application and hence the low computational costs since their basis functions can be added to the regression model like usual covariates. As long as no inequality constraints and ...

Owner only: item control page