Lattice-based D-optimum design for Fourier regression
UNSPECIFIED (1997) Lattice-based D-optimum design for Fourier regression. ANNALS OF STATISTICS, 25 (6). pp. 2313-2327. ISSN 0090-5364Full text not available from this repository.
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|
|Number of Pages:||15|
|Page Range:||pp. 2313-2327|
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