Computing optimal approximate invariant designs for cubic regression on multidimensional balls and cubes
type: Item
instance of: scholarly article
title: Computing optimal approximate invariant designs for cubic regression on multidimensional balls and cubes
zbMATH Open document ID: 0848.62040
DOI: 10.1016/0378-3758(94)00140-Q
author: Norbert Gaffke
author: Berthold Heiligers
published in: Journal of Statistical Planning and Inference
publication date: 1996-10-28T00:00:00Z
Mathematics Subject Classification ID: 62K05
Mathematics Subject Classification ID: 65C99
Mathematics Subject Classification ID: 62Q05
Mathematics Subject Classification ID: 90C25
zbMATH DE Number: 844172
zbMATH Keywords: robust designs
zbMATH Keywords: multiple moments
zbMATH Keywords: multiple polynomial regression
zbMATH Keywords: invariant criterion
zbMATH Keywords: mixture criterion
zbMATH Keywords: convex optimization
zbMATH Keywords: line search
zbMATH Keywords: gradient methods
zbMATH Keywords: quasi-Newton methods
zbMATH Keywords: optimal approximate designs
zbMATH Keywords: cubic multiple regression
zbMATH Keywords: group of permutations
zbMATH Keywords: sign changes
zbMATH Keywords: rotatable designs
zbMATH Keywords: exact designs
MaRDI profile type: Publication
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full work available at URL: 0378-3758(94)00140-q
OpenAlex ID: W2041374156
description: scientific article; zbMATH DE number 844172