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Lattice-based D-optimum design for Fourier regression

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UNSPECIFIED (1997) Lattice-based D-optimum design for Fourier regression. ANNALS OF STATISTICS, 25 (6). pp. 2313-2327.

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Abstract

A theory of optimum orthogonal fractions is developed for Fourier regression models using integer lattice designs. These provide alternatives to simple grids (product designs) in the case when specified main effects and interaction terms are required to be analyzed. The challenge is to obtain sample sizes which are polynomial in the dimension rather than exponential. This is achieved for certain models with special algorithms based on both algebraic generation and more direct sequential search.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Journal or Publication Title: ANNALS OF STATISTICS
Publisher: INST MATHEMATICAL STATISTICS
ISSN: 0090-5364
Official Date: December 1997
Dates:
DateEvent
December 1997UNSPECIFIED
Volume: 25
Number: 6
Number of Pages: 15
Page Range: pp. 2313-2327
Publication Status: Published

Data sourced from Thomson Reuters' Web of Knowledge

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