Design for computer experiments with qualitative and quantitative factors

DOI10.5705/SS.2013.388zbMath1377.62165OpenAlexW2331234188MaRDI QIDQ3448726

C. Devon Lin, Ying Hung, Xinwei Deng

Publication date: 26 October 2015

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5705/ss.2013.388

zbMATH Keywords

difference schemeorthogonal arrayresolvable orthogonal arraymixed levellatin squarefold-over design

Mathematics Subject Classification ID

Factorial statistical designs (62K15)

Related Items (13)

A new and flexible design construction for orthogonal arrays for modern applications ⋮ Marginally coupled designs for two-level qualitative factors ⋮ Construction of (nearly) orthogonal sliced Latin hypercube designs ⋮ Construction of marginally coupled designs by subspace theory ⋮ An efficient algorithm for Elastic I‐optimal design of generalized linear models ⋮ Doubly Coupled Designs for Computer Experiments With Both Qualitative and Quantitative Factors ⋮ Modeling and Active Learning for Experiments with Quantitative-Sequence Factors ⋮ A central limit theorem for marginally coupled designs ⋮ Signal aliasing in Gaussian random fields for experiments with qualitative factors ⋮ On design and analysis of funnel testing experiments in webpage optimization ⋮ Construction of orthogonal marginally coupled designs ⋮ Uniformity criterion for designs with both qualitative and quantitative factors ⋮ EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors

This page was built for publication: Design for computer experiments with qualitative and quantitative factors