R-optimal designs for multi-factor models with heteroscedastic errors
type: Item
instance of: scholarly article
title: R-optimal designs for multi-factor models with heteroscedastic errors
zbMATH Open document ID: 1416.62438
author: Lei He
author: Rong-Xian Yue
published in: Metrika
publication date: 2017-12-01T00:00:00Z
review text: The paper studies the task of R-optimal design for the Kronecker product and additive multi-factor regression models with heteroscedastic errors. The theoretical results are accompanied by several illustrative examples.
reviewed by: Catalin Stoean
Mathematics Subject Classification ID: 62K05
Mathematics Subject Classification ID: 62J05
zbMATH DE Number: 6814691
zbMATH Keywords: R-optimality
zbMATH Keywords: multi-factor regression
zbMATH Keywords: heteroscedastic errors
zbMATH Keywords: Kronecker product model
zbMATH Keywords: additive models
MaRDI profile type: Publication
full work available at URL: s00184-017-0624-1
OpenAlex ID: W2741744991
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DOI: 10.1007/S00184-017-0624-1
description: scientific article; zbMATH DE number 6814691