An algorithmic framework for generating optimal two-stratum experimental designs

DOI10.1016/j.csda.2017.06.006zbMath1466.62170OpenAlexW2400587295MaRDI QIDQ1658390

Kenneth Sörensen, Daniel Palhazi Cuervo, Peter Goos

Publication date: 14 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://lirias.kuleuven.be/handle/123456789/617414

zbMATH Keywords

variable neighborhood searchcoordinate-exchange algorithmblocked experimentssplit-plot experimentstwo-stratum experiments

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Optimal statistical designs (62K05)

Cites Work

• Unnamed Item
• Unnamed Item
• Mixed two- and four-level fractional factorial split-plot designs with clear effects
• A hybrid elitist Pareto-based coordinate exchange algorithm for constructing multi-criteria optimal experimental designs
• A multi-objective coordinate-exchange two-phase local search algorithm for multi-stratum experiments
• Optimal designs for conjoint experiments
• Variable neighborhood search
• An algorithm for arranging response surface designs in small blocks.
• Optimal blocking of two-level fractional factorial designs
• On choosing between fixed and random block effects in some no-interaction models
• The optimal design of blocked and split-plot experiments
• A coordinate-exchange two-phase local search algorithm for the D- and I-optimal designs of split-plot experiments
• Model-robust designs for split-plot experiments
• On using the hypervolume indicator to compare Pareto fronts: applications to multi-criteria optimal experimental design
• Some results on blocked regular 2-level fractional factorial designs with clear effects
• Optimal design of large-scale screening experiments: a critical look at the coordinate-exchange algorithm
• Optimal versus orthogonal and equivalent-estimation design of blocked and split-plot experiments
• Designing Fractional Factorial Split-Plot Experiments with Few Whole-Plot Factors
• Computer-Aided Blocking of Factorial and Response-Surface Designs
• D-optimal design of split-split-plot experiments
• The construction of exact D-optimum experimental designs with application to blocking response surface designs
• Response Surface Models with Random Block Effects
• Optimal Blocking Schemes for 2 n and 2 n-p Designs
• Strip-Plot Configurations of Fractional Factorials
• Fractional Resolution and Minimum Aberration in Blocked 2 n-k Designs
• Variable Neighborhood Search
• Difference Variance Dispersion Graphs for Comparing Response Surface Designs with Applications in Food Technology
• Minimum-Aberration Two-Level Split-Plot Designs
• Multistratum Response Surface Designs
• Some practical advice on polynomial regression analysis from blocked response surface designs
• The Coordinate-Exchange Algorithm for Constructing Exact Optimal Experimental Designs
• Fractional Factorial Split-plot Designs with Two- and Four-level Factors Containing Clear Effects
• \(D\)-optimal response surface designs in the presence of random block effects.

This page was built for publication: An algorithmic framework for generating optimal two-stratum experimental designs