Case Study in Combining Physical and Computer Experiments

Dr. Tom Burr

Case Study in Combining Physical and Computer Experiments

Dr. Tom Burr * §

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Los Alamos National Laboratory

Case Study in Combining Physical and Computer Experiments

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Abstract

Estimation of computer model parameters using field data is sometimes attempted while simultaneously allowing for model bias. One paper reports that simultaneous estimation of a bias vector and a scalar calibration parameter, which results in a “calibrated computer model,” can be sensitive to assumptions made prior to data collection. Other papers show that “calibrated computer models” can lead to improved response prediction, as measured by the root mean squared prediction error (RMSE). This paper uses a simulated case study to show that the RMSE from a purely empirical prediction option (local kernel smoothing) can be smaller than the RMSE from a “calibrated computer model” option. Therefore, although we endorse “calibrated computer models,” we point out that purely empirical models can provide competitive predictions in some cases.

References

17 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Tom Burr. 2012. "Case Study in Combining Physical and Computer Experiments". Global Journal of Science Frontier Research - A: Physics & Space Science GJSFR-A Volume 12 (GJSFR Volume 12 Issue A3).

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GJSFR Volume 12 Issue A3

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

assumptions calibration empirical sensitive

Classification

GJSFR-A Classification FOR Code: 029999

Submission ReceivedJanuary 28, 2012
Peer Review Double Blind
Handling Editor
Accepted February 25, 2012
Published March 11, 2012

Version of record

v1.2

Issue date

April 7, 2012

Language

English

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Article Matrices

Total Score: 181

Country: United States

Subject: Global Journal of Science Frontier Research

Authors: Dr. Tom Burr, Michael S. Hamada (PhD/Dr. count: 1)

View Count (all-time): 338

Total Views (Real + Logic): 2084

Total Downloads (simulated): 140

Publish Date: 2012 03, Sun

Monthly Totals (Real + Logic):

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Total Views: 2.1K

Total Downloads: 140

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