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

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

doi:10.1016/S0167-9473(00)00057-8

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 journal › Article › peer-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 language	English (US)
Pages (from-to)	77-92
Number of pages	16
Journal	Computational Statistics and Data Analysis
Volume	37
Issue number	1
DOIs	https://doi.org/10.1016/S0167-9473(00)00057-8
State	Published - 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

Online availability

10.1016/S0167-9473(00)00057-8

Library availability

Discover UIUC Full Text

Cite this

@article{8946011ba9b24c9aaa5281ade98272ff,

title = "A statistical method for tuning a computer code to a data base",

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.",

keywords = "Nonlinear regression, Parameter estimation, Statistical inference, Stochastic processes, Tuning computer models",

author = "Cox, {Dennis D.} and Park, {Jeong Soo} and Singer, {Clifford E.}",

year = "2001",

month = jul,

day = "28",

doi = "10.1016/S0167-9473(00)00057-8",

language = "English (US)",

volume = "37",

pages = "77--92",

journal = "Computational Statistics and Data Analysis",

issn = "0167-9473",

publisher = "Elsevier B.V.",

number = "1",

}

TY - JOUR

T1 - A statistical method for tuning a computer code to a data base

AU - Cox, Dennis D.

AU - Park, Jeong Soo

AU - Singer, Clifford E.

PY - 2001/7/28

Y1 - 2001/7/28

N2 - 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.

AB - 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.

KW - Nonlinear regression

KW - Parameter estimation

KW - Statistical inference

KW - Stochastic processes

KW - Tuning computer models

UR - http://www.scopus.com/inward/record.url?scp=0035963913&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0035963913&partnerID=8YFLogxK

U2 - 10.1016/S0167-9473(00)00057-8

DO - 10.1016/S0167-9473(00)00057-8

M3 - Article

AN - SCOPUS:0035963913

SN - 0167-9473

VL - 37

SP - 77

EP - 92

JO - Computational Statistics and Data Analysis

JF - Computational Statistics and Data Analysis

IS - 1

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

Online availability

Library availability

Related links

Fingerprint

Cite this