| Article ID: | iaor2016695 |
| Volume: | 32 |
| Issue: | 2 |
| Start Page Number: | 673 |
| End Page Number: | 680 |
| Publication Date: | Mar 2016 |
| Journal: | Quality and Reliability Engineering International |
| Authors: | Hamada M S, Gattiker J R, Higdon D M, Schonlau M, Welch W J |
| Keywords: | experiment, statistics: regression |
We show how a Gaussian Process (GP) can be used as a nonparametric regression model to fit experiment data that captures the relationship between the experiment response and the experiment factors. We illustrate the GP model analysis with a solar collector computer experiment. We also illustrate how physical experiment data can be analyzed using a GP.