Minimum support invariant designs for multiple cubic regression
type: Item
instance of: scholarly article
title: Minimum support invariant designs for multiple cubic regression
zbMATH Open document ID: 0955.62079
DOI: 10.1016/S0378-3758(98)00034-2
author: Norbert Gaffke
author: Berthold Heiligers
published in: Journal of Statistical Planning and Inference
publication date: 1999-11-23T00:00:00Z
Mathematics Subject Classification ID: 62K05
zbMATH DE Number: 1326762
zbMATH Keywords: approximate designs
zbMATH Keywords: exact designs
zbMATH Keywords: efficiency
zbMATH Keywords: moment matrix
MaRDI profile type: Publication
cites work: Optimal and robust invariant designs for cubic multiple regression
cites work: Algorithms for optimal design with application to multiple polynomial regression
cites work: Computing optimal approximate invariant designs for cubic regression on multidimensional balls and cubes
cites work: Q4212149
cites work: Invariant admissible and optimal designs in cubic regression on the \(\nu\)-ball
cites work: Convex Analysis
full work available at URL: s0378-3758(98)00034-2
OpenAlex ID: W2088525153
description: scientific article; zbMATH DE number 1326762