Journal
TECHNOMETRICS
Volume 50, Issue 3, Pages 383-396Publisher
AMER STATISTICAL ASSOC
DOI: 10.1198/004017008000000262
Keywords
Cokriging; Design of experiments; Kriging; Multivariate Gaussian process; Semidefinite programming
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Modeling experiments with qualitative and quantitative factors is an important issue in computer modeling. We propose a framework for building Gaussian process model,, that incorporate both types of factors. The key to the development of these new models is an approach for constructing correlation functions with qualitative and quantitative factors. An iterative estimation procedure is developed for the proposed models. Modern optimization techniques are used in the estimation to ensure the validity of the constructed correlation functions. The proposed method is illustrated with in example involving a known function and a real example for modeling the thermal distribution of a data center.
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