Small run size design for model identification in \(3^m\) factorial experiments

DOI10.1002/sta4.299MaRDI QIDQ6541593

Fariba Z. Labbaf, Hooshang Talebi

Publication date: 19 May 2024

Published in: Stat (Search for Journal in Brave)

zbMATH Keywords

variable selectionmodel identificationfactorial designinteraction effectssearch design

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• An MEP.2 plan in \(3^n\) factorial experiment and its probability of correct identification
• Some search designs for symmetric and asymmetric factorials
• Search designs for estimating main effects and searching several two-factor interactions in general factorials
• Searching probabilities for nonzero effects in search designs for the noisy case
• A new efficient MEP.1 series for \(2^f\) factorial experiments
• Families of search designs for simultaneous detection of the active main and 2-factor interaction effects
• A series of single array 2^mfactorial search designs for evenm
• An Algorithmic Approach to Constructing Supersaturated Designs
• Comparing search and estimation performances of designs based on a compound criterion
• Using orthogonal array for constructing three-level search designs

This page was built for publication: Small run size design for model identification in \(3^m\) factorial experiments