Pitfalls of using a single criterion for selecting experimental designs

DOI10.1002/nme.2242zbMath1195.62129OpenAlexW1988146737MaRDI QIDQ3590360

Tushar Goel, Wei Shyy, Raphael T. Haftka, Layne T. Watson

Publication date: 17 September 2010

Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2027.42/60445

zbMATH Keywords

surrogate modelsbias errorsLHS/D-optimal designspolynomial response surface approximation

Mathematics Subject Classification ID

Optimal statistical designs (62K05)

Related Items (7)

Evaluation of convergence behavior of metamodeling techniques for bridging scales in multi-scale multimaterial simulation ⋮ Nested maximin Latin hypercube designs ⋮ D-optimality of non-regular design spaces by using a Bayesian modification and a hybrid method ⋮ Comparing three error criteria for selecting radial basis function network topology ⋮ Sequential Design of Experiment for Sparse Polynomial Chaos Expansions ⋮ An algorithm for fast optimal Latin hypercube design of experiments ⋮ Layers of Experiments with Adaptive Combined Design

Uses Software

• JMP
• Matlab

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Design of experiments for locally weighted regression
• Minimum bias designs with constraints
• A new approach to mean squared error estimation of response surfaces
• Generalized pointwise bias error bounds for response surface approximations
• Surrogate model-based strategy for cryogenic cavitation model validation and sensitivity evaluation
• Optimal orthogonal-array-based latin hypercubes
• A mean squared error criterion for the design of experiments
• Orthogonal Array-Based Latin Hypercubes
• Orthogonal Column Latin Hypercubes and Their Application in Computer Experiments

This page was built for publication: Pitfalls of using a single criterion for selecting experimental designs