Abstract
Uniform designs (UDs) have been widely used in various fields. Traditionally they were generated by so-called good lattice point (glp) sets. In this paper, we propose a new approach based on cyclic Latin squares (CLS). The UDs generated have much smaller discrepancies than those proposed by Wang and Fang (1981). A threshold accepting algorithm is employed for finding the CLS with smallest L2-discrepancy.
| Original language | English |
|---|---|
| Pages (from-to) | 905-912 |
| Number of pages | 8 |
| Journal | Statistica Sinica |
| Volume | 9 |
| Issue number | 3 |
| Publication status | Published - Jul 1999 |
User-Defined Keywords
- Experimental design
- L-discrepancy
- Latin squares
- Threshold accepting algorithm
- Uniform design
- Uniformity