Accession Number : ADP007148

Title :   Tuning Complex Computer Code to Data,

Corporate Author : ILLINOIS UNIV AT URBANA DEPT OF STATISTICS

Personal Author(s) : Cox, Dennis ; Park, Jeong S. ; Sacks, Jerome ; Singer, Clifford

Report Date : 1992

Pagination or Media Count : 6

Abstract : The problem of estimating parameters in a complex computer simulator of a nuclear fusion reactor from an experimental database is treated. Practical limitations do not permit a standard statistical analysis using nonlinear regression methodology. The assumption that the function giving the true theoretical predictions is a realization of a Gaussian stochastic process provides a statistical method for combining information from relatively few computer runs with information from the experimental database and making inferences on the parameters.

Descriptors :   *NUCLEAR FUSION, *SIMULATORS, *STATISTICAL ANALYSIS, COMPUTERS, FUNCTIONS, LIMITATIONS, METHODOLOGY, PARAMETERS, PREDICTIONS, STANDARDS.

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE