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A Global Selection Procedure for Polynomial Interpolators
Ron A. Bates, Beatrice Giglio and Henry P. Wynn
Vol. 45, No. 3 (Aug., 2003), pp. 246-255
Published by: Taylor & Francis, Ltd. on behalf of American Statistical Association and American Society for Quality
Stable URL: http://www.jstor.org/stable/25047051
Page Count: 10
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The drive for efficient methods of testing design ideas and prototypes, particularly in engineering, has led to a rapid increase in the field of numerical simulation methods using computers, such as finite-element analysis. This increase in popularity has fueled the need for empirical models that interpolate data collected from these simulations. We propose a selection algorithm to efficiently explore an appropriate class of polynomial interpolators. The storage of polynomial models is made efficient and effective thanks to a special coding. Finally, the last stage of the algorithm returns a model that is no longer an interpolator but, having a smaller number of terms, is simpler and easier to handle and understand. In this way, a trade-off between accuracy and simplicity of the model is attained.
Technometrics © 2003 American Statistical Association