Additive Gaussian Process for Computer Models With Qualitative and Quantitative Factors. Issue 3 (3rd July 2017)

• Record Type: Journal Article
• Authors: Deng, X.; Lin, C. Devon; Liu, K.-W.; Rowe, R. K.
• Is Part Of: Technometrics. Volume 59:Issue 3(2017)
• Page Start: 283
• Page End: 292
• Publication Date: 2017-07-03
• Subjects: Additive model -- Computer experiment -- Fractional factorial design -- Hypersphere decomposition -- Kriging; Statistical physics -- Periodicals; Chemistry -- Statistical methods -- Periodicals; Engineering -- Statistical methods -- Periodicals; 519.5
• DOI: 10.1080/00401706.2016.1211554
• Languages: English
• ISSNs: 0040-1706

Abstract

ABSTRACT: Computer experiments with qualitative and quantitative factors occur frequently in various applications in science and engineering. Analysis of such experiments is not yet completely resolved. In this work, we propose an additive Gaussian process model for computer experiments with qualitative and quantitative factors. The proposed method considers an additive correlation structure for qualitative factors, and assumes that the correlation function for each qualitative factor and the correlation function of quantitative factors are multiplicative. It inherits the flexibility of unrestrictive correlation structure for qualitative factors by using the hypersphere decomposition, embracing more flexibility in modeling the complex systems of computer experiments. The merits of the proposed method are illustrated by several numerical examples and a real data application. Supplementary materials for this article are available online.