1. Computational Results in Selecting Multi-Factor Experimental Arrangements.
- Author
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Neuhardt, John B., Bradley, Hugh E., and Henning, Richard W.
- Subjects
- *
EXPERIMENTAL design , *FACTOR analysis , *COMPUTATIONAL complexity , *MATHEMATICAL optimization , *OPTIMAL stopping (Mathematical statistics) , *MATHEMATICAL analysis , *QUADRATIC programming , *SIMULATION methods & models , *INTEGER programming - Abstract
This article investigates some theoretical and computational properties dealing with the selection of an "optimum" experiment in a constrained environment. The squared Euclidean norm of the information matrix is developed as a measure of optimality for any experimental factorial arrangement. The problem of experimental layout is structured as a mathematical optimization which can be transformed into a quadratic integer program. Computational results are given. [ABSTRACT FROM AUTHOR]
- Published
- 1973
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