A statistical method for tuning a computer code to a data base

Dennis D. Cox, Jeong Soo Park, Clifford E. Singer

Research output: Contribution to journalArticlepeer-review

Abstract

A statistical procedure is described for estimation of unknown parameters (constants) in a complex computer model from an observational or experimental data base. The approach provides accuracy assessments of the estimates. An application is given to a computer code which models nuclear fusion reactors.

Original languageEnglish (US)
Pages (from-to)77-92
Number of pages16
JournalComputational Statistics and Data Analysis
Volume37
Issue number1
DOIs
StatePublished - Jul 28 2001

Keywords

  • Nonlinear regression
  • Parameter estimation
  • Statistical inference
  • Stochastic processes
  • Tuning computer models

ASJC Scopus subject areas

  • Statistics and Probability
  • Computational Mathematics
  • Computational Theory and Mathematics
  • Applied Mathematics

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