Lattices and dual lattices in optimal experimental design for Fourier models

Computational Statistics and Data Analysis

Volumn 28, Issue 3, 1998, Pages 283-296

  Bates, R A ^a   Riccomagno, E ^a   Schwabe, R ^b   Wynn, H P ^a  

^a UNIVERSITY OF WARWICK   (United Kingdom)

^b JOHANNES GUTENBERG UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ASYMPTOTIC STABILITY; COMPUTATIONAL COMPLEXITY; DATA REDUCTION; FOURIER TRANSFORMS; INVERSE PROBLEMS; MATHEMATICAL MODELS; MATRIX ALGEBRA; SAMPLING;

NUMBER-THEORETIC LATTICES; NYQUIST SAMPLING;

REGRESSION ANALYSIS;

EXPERIMENTAL DESIGN; FOURIER TRANSFORM; LATTICE DYNAMICS; MODELING;

EID: 0032483587     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(98)00042-5     Document Type: Article

References (9)

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4. Hoel, P.G., 1965. Minimax distance designs in two dimensional regression. Ann. Math. Statist. 36, 1097-1106.
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7. Riccomagno, E., Schwabe, R., Wynn, H.P., 1997. Lattice-based optimum design for Fourier regression. Ann. Statist. 25 (6), 2313-2327.
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