Lattice-based D-optimum design for fourier regression

Annals of Statistics

Volumn 25, Issue 6, 1997, Pages 2313-2327

  Riccomagno, Eva ^a   Schwabe, Rainer ^b   Wynn, Henry P ^a  

^a UNIVERSITY OF WARWICK   (United Kingdom)

^b DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Fourier models; Lattices; Orthogonal fractions complexity

Indexed keywords

EID: 0031325672     PISSN: 00905364     EISSN: None     Source Type: Journal    
DOI: 10.1214/aos/1030741074     Document Type: Article

References (9)

1. BATES, R. A., BUCK, R J., RICCOMAGNO, E. and WYNN, H. P. (1996). Experimental design and observation for large systems. J. Roy. Statist. Soc. Ser. B 58 77-94.
2. BROWN, L., OLKIN, I., SACKS, J. and WYNN, H., eds. (1985). Jack Carl Kiefer Collected Papers. Springer, New York.
3. HOEL, P. G. (1965). Minimax designs in two dimensional regression. Ann. Math. Statist. 36 1097-1106.
4. KIEFER, J. and WOLFOWITZ, J. (1959). Optimum designs in regression problems. Ann. Math. Statist. 30 271-294.
5. NIEDERREITER, H. (1992). Random Number Generation and Quasi-Monte Carlo Methods. SIAM, Philadelphia.
6. PUKELSHEIM, F. (1993). Optimal Design of Experiments. Wiley, New York.
7. RAFAJLOWICZ, E. and MYSZKA, W. (1992). When product type experimental design is optimal; brief survey and new results. Metrika 39 321-333.
8. SCHWABE, R. (1996a). Optimum Designs for Multi-Factor Models. Lecture Notes in Statist. 113. Springer, New York.
9. SCHWABE, R. (1996b). Model robust experimental design in the presence of interactions: the orthogonal case. Tatra Mt. Math. Publ. 7 97-104.