| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1150709 | Journal of Statistical Planning and Inference | 2006 | 14 Pages |
Abstract
A maximum estimability (maxest) criterion is proposed for design classification and selection. It is an extension and refinement of Webb's resolution criterion for general factorial designs. By using the estimability vector associated with the maxest criterion, projective properties of nonregular designs are studied from the estimability perspective. Comparisons with other criteria are also discussed.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Xianggui Qu,