Advertisement

Predicting Output from Computer Experiments

  • Thomas J. Santner
  • Brian J. Williams
  • William I. Notz
Part of the Springer Series in Statistics book series (SSS)

Abstract

This chapter discusses techniques for predicting the output of a computer model based on training data. A naíve view of this problem might regard it as being point estimation of a fixed population quantity. In contrast, prediction is the problem of providing a point guess of the realization of a random variable. The reason why prediction is the relevant methodology for the computer experiment application will be discussed in Section 3.2.

Keywords

True Surface Fire Source Good Linear Unbiased Predictor Mean Square Prediction Error Regression Predictor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media New York 2003

Authors and Affiliations

  • Thomas J. Santner
    • 1
  • Brian J. Williams
    • 1
  • William I. Notz
    • 1
  1. 1.Department of StatisticsOhio State UniversityColumbusUSA

Personalised recommendations