University of Illinois at Urbana-Champaign
Tuning complex computer codes to data and optimal designs
Abstract
dc:description"Modern scientific researchers often use complex computer simulation codes for theoretical investigations. We model the response of computer simulation code as the realization of a stochastic process. This approach, design and analysis of computer experiments (DACE), provides a statistical basis for analysing computer data, for designing experiments for efficient prediction and for comparing computer-encoded theory to experiments. An objective of research in a large class of dynamic systems is to determine any unknown coefficients in a theory. The coefficients can be determined by ""tuning"" the computer model to the real data so that the tuned code gives a good match to the real experimental data."
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Statistics
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2011
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Park, Jeong Soo
- Contributors dc:contributor
-
- Cox, Dennis D.
Subjects
dc:subject × 4Rights
dc:rights- Statement dc:rights
-
- Copyright 1991 Park, Jeong Soo
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
-
AAI9210946
(UMI)AAI9210946 - OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/21851