Evaluating Experimental Designs for Fitting Response Surfaces of Deterministic Models.

Abstract

This thesis evaluates several bias minimizing and variance minimizing experimental designs in terms of their effectiveness and efficiency in constructing response equations for a deterministic, nuclear exchange problem. The criteria which is used to evaluate these designs includes: 1) number of required design points; 2) number of terms in the response equation; 3) accuracy of fit of the response equation; 4) orthogonality of the design; and 5) rotatability of the design. In addition, the response surface equations are evaluated in terms of their predictive power and their explanatory power. The predictive power addresses the equation's ability to adequately estimate the true surface and to accurately predict a future response for a given set of inputs. The explanatory power addresses the equation's ability to present a response equation which is simple to interpret so that the true surface can be easily evaluated and the results can be easily explained. Keywords: Response surface methodology; Experimental design; Deterministic models.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1985
Accession Number
ADA167604

Entities

People

  • Bryan K. Ishihara

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Analysis Of Variance
  • Boxes
  • Computational Science
  • Computer Programming
  • Data Science
  • Data Sets
  • Experimental Design
  • Factorial Design
  • Information Science
  • Linear Programming
  • Mathematical Models
  • Mathematical Programming
  • Operations Research
  • Regression Analysis
  • Weapon Systems

Readers

  • Computational Modeling and Simulation
  • Regression Analysis.