Preliminaries

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

Abstract

This chapter outlines the basic considerations in thinking about the design and analysis of computer experiments. This section begins by distinguishing three types of variables that can affect the output of a computer code y(•), depending on the phenomenon being modeled. Using this categorization, we identify some possible experimental goals.

Keywords

Correlation Function Covariance Function Random Function Computer Experiment Sample Path 
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.

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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

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