Physical Experiments and Computer Experiments

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

Abstract

This book describes methods for designing and analyzing research studies that are conducted using computer code in lieu of a physical experiment. Historically, Statistics has been the scientific discipline that creates methodology for conducting empirical research. The process of designing a study to answer a specific research question first addresses the problem of identifying the variables to be observed, i.e., what data to collect. Traditional methods of data collection include retrospective techniques such as cohort studies and the case-control studies used in epidemiology. The gold standard data collection method for establishing cause and effect relationships is the prospective designed experiment. Agricultural field experiments were one of the first subject matter disciplines that used designed experiments. Over time, many other subject matter areas and modes of experimentation have been developed. For example, controlled clinical trials are used extensively in studying medical therapies and simulation experiments are used extensively in operations research to compare the performance of (well) understood physical systems having stochastic components such as the flow of material through a job shop. Once the research study has been designed and executed, Statistics either identifies or develops appropriate methods to analyze the resulting data.

Keywords

Computer Code Heat Release Rate Computer Experiment Fire Source Fillet Radius 
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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