| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1147666 | Journal of Statistical Planning and Inference | 2011 | 8 Pages |
Abstract
A new class of row-column designs is proposed. These designs are saturated in terms of eliminating two-way heterogeneity with an additive model. The proposed designs are treatment-connected, i.e., all paired comparisons of treatments in the designs are estimable in spite of the existence of row and column effects. The connectedness of the designs is justified from two perspectives: linear model and contrast estimability. Comparisons with other designs are studied in terms of A-, D-, E-efficiencies as well as design balance.
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Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Xianggui Qu,