An efficient method for constructing uniform designs with large size
Many construction methods for (nearly) uniform designs have been proposed under the centered <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$L_2$$</EquationSource> </InlineEquation>-discrepancy, and most of them are only suitable for constructing designs with small size. This paper proposes a new method, called mixture method (MM), to construct nearly symmetrical/asymmetrical uniform designs with large number of runs and/or large number of factors. The new method has the “better than given” property, i.e., the resulting design is better than existing designs in the sense of the pre-decided criterion. Moreover, the computational speed of MM is faster than most existing methods. Copyright Springer-Verlag 2013
Year of publication: |
2013
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Authors: | Zhou, Yong-Dao ; Fang, Kai-Tai |
Published in: |
Computational Statistics. - Springer. - Vol. 28.2013, 3, p. 1319-1331
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Publisher: |
Springer |
Saved in:
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