Nonparametric Multivariate Regression Subject to Constraint
We review Hildreth's algorithm for computing the least squares regression subject to inequality constraints and Dykstra's generalization. We provide a geometric proof of convergence and several enhancements to the algorithm and generalize the application of the algorithm from convex cones to convex sets.
(This abstract was borrowed from another version of this item.)
|Date of creation:||01 May 1993|
|Contact details of provider:|| Postal: F502 Haas, Berkeley CA 94720-1922|
Phone: (510) 642-1922
Fax: (510) 642-5018
Web page: http://www.escholarship.org/repec/iber_econ/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Varian, Hal R, 1984. "The Nonparametric Approach to Production Analysis," Econometrica, Econometric Society, vol. 52(3), pages 579-597, May.
When requesting a correction, please mention this item's handle: RePEc:cdl:econwp:qt7r623607. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Lisa Schiff)
If references are entirely missing, you can add them using this form.