Algorithms for Optimal Design with Application to Multiple Polynomial Regression.
Norbert Gaffke; Berthold Heiligers
Metrika (1995)
- Volume: 42, Issue: 3-4, page 173-190
- ISSN: 0026-1335; 1435-926X/e
Access Full Article
topHow to cite
topGaffke, Norbert, and Heiligers, Berthold. "Algorithms for Optimal Design with Application to Multiple Polynomial Regression.." Metrika 42.3-4 (1995): 173-190. <http://eudml.org/doc/176574>.
@article{Gaffke1995,
author = {Gaffke, Norbert, Heiligers, Berthold},
journal = {Metrika},
keywords = {optimal linear regression design; convex extremum problems; algorithm; steepest descent type algorithms; improved gradient methods; second order methods; symmetric multiple polynomial models; invariance structures; efficient exact designs; optimal approximate designs; multifactor cubic model},
number = {3-4},
pages = {173-190},
title = {Algorithms for Optimal Design with Application to Multiple Polynomial Regression.},
url = {http://eudml.org/doc/176574},
volume = {42},
year = {1995},
}
TY - JOUR
AU - Gaffke, Norbert
AU - Heiligers, Berthold
TI - Algorithms for Optimal Design with Application to Multiple Polynomial Regression.
JO - Metrika
PY - 1995
VL - 42
IS - 3-4
SP - 173
EP - 190
KW - optimal linear regression design; convex extremum problems; algorithm; steepest descent type algorithms; improved gradient methods; second order methods; symmetric multiple polynomial models; invariance structures; efficient exact designs; optimal approximate designs; multifactor cubic model
UR - http://eudml.org/doc/176574
ER -
NotesEmbed ?
topTo embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.