A Resampling Based Approach to Optimal Experimental Design for Computer Analysis of a Complex System

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Description

The investigation of a complex system is often performed using computer generated response data supplemented by system and component test results where possible. Analysts rely on an efficient use of limited experimental resources to test the physical system, evaluate the models and to assure (to the extent possible) that the models accurately simulate the system order investigation. The general problem considered here is one where only a restricted number of system simulations (or physical tests) can be performed to provide additional data necessary to accomplish the project objectives. The levels of variables used for defining input scenarios, for setting system ... continued below

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5 p.

Creation Information

Rutherford, Brian August 4, 1999.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

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  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Albuquerque, NM, and Livermore, CA (United States)
    Place of Publication: Albuquerque, New Mexico

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Description

The investigation of a complex system is often performed using computer generated response data supplemented by system and component test results where possible. Analysts rely on an efficient use of limited experimental resources to test the physical system, evaluate the models and to assure (to the extent possible) that the models accurately simulate the system order investigation. The general problem considered here is one where only a restricted number of system simulations (or physical tests) can be performed to provide additional data necessary to accomplish the project objectives. The levels of variables used for defining input scenarios, for setting system parameters and for initializing other experimental options must be selected in an efficient way. The use of computer algorithms to support experimental design in complex problems has been a topic of recent research in the areas of statistics and engineering. This paper describes a resampling based approach to form dating this design. An example is provided illustrating in two dimensions how the algorithm works and indicating its potential on larger problems. The results show that the proposed approach has characteristics desirable of an algorithmic approach on the simple examples. Further experimentation is needed to evaluate its performance on larger problems.

Physical Description

5 p.

Notes

OSTI as DE00009503

Medium: P; Size: 5 pages

Source

  • 1999 Joint Statistical Meetings, Baltimore, MD (US), 08/08/1999--08/12/1999

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  • Report No.: SAND99-0363C
  • Grant Number: AC04-94AL85000
  • Office of Scientific & Technical Information Report Number: 9503
  • Archival Resource Key: ark:/67531/metadc791690

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • August 4, 1999

Added to The UNT Digital Library

  • Dec. 19, 2015, 7:14 p.m.

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  • April 11, 2017, 12:45 p.m.

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Rutherford, Brian. A Resampling Based Approach to Optimal Experimental Design for Computer Analysis of a Complex System, article, August 4, 1999; Albuquerque, New Mexico. (digital.library.unt.edu/ark:/67531/metadc791690/: accessed October 17, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.