Three parallel flats designs for two-level factorial experiments
Journal
Australian and New Zealand Journal of Statistics
Journal Volume
43
Journal Issue
1
Pages
113-119
Date Issued
2001
Author(s)
Abstract
This paper investigates the properties of the class of three parallel flats designs for two‐level factorial experiments. It shows that the designs constructed from this class of designs can have a very simple correlation structure. The correlation of any pair of best linear unbiased estimators of factorial effects is 0, ⅓ or ¼. Furthermore, the designs obtained also have high D‐efficiency. Finally, a class of designs is generated with run‐size N = 12 to illustrate the use of the theorem.
SDGs
Type
journal article