Supersaturated designs: are our results significant?
type: Item
instance of: scholarly article
title: Supersaturated designs: are our results significant?
zbMATH Open document ID: 1464.62063
author: David Edwards
author: Robert Mee
published in: Computational Statistics and Data Analysis
publication date: 2018-08-14T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62K15
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62J07
zbMATH DE Number: 6917722
zbMATH Keywords: adjusted \(p\)-value
zbMATH Keywords: all-subsets regression
zbMATH Keywords: effect sparsity
zbMATH Keywords: global model test
zbMATH Keywords: randomization test
zbMATH Keywords: shrinkage methods
MaRDI profile type: Publication
full work available at URL: j.csda.2011.03.015
OpenAlex ID: W1984776583
cites work: An empirical comparison of permutation methods for tests of partial regression coefficients in a linear model
cites work: Permutation Tests for Linear Models
cites work: Some Systematic Supersaturated Designs
cites work: An Analysis for Unreplicated Fractional Factorials
cites work: The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
cites work: Least angle regression. (With discussion)
cites work: Asymptotic-power problems in the analysis of supersaturated designs
cites work: Generating Systematic Supersaturated Designs
cites work: Q4229804
cites work: A comparison of design and model selection methods for supersaturated experiments
cites work: Q4806224
cites work: Analysis of supersaturated designs via the Dantzig selector
cites work: Q4378119
cites work: Construction of supersaturated designs through partially aliased interactions
DOI: 10.1016/J.CSDA.2011.03.015
description: scientific article; zbMATH DE number 6917722