A class of saturated row-column designs

作者:Qu Xianggui*; Ogunyemi Theophilus; Kushler Robert
来源:Journal of Statistical Planning and Inference, 2010, 140(3): 781-790.
DOI:10.1016/j.jspi.2009.09.007

摘要

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 (m,s)-criterion is used to select optimal designs. it turns out that all (m,s)-optimal designs are binary. Square (m,s)-optimal designs are constructed and they are treatment-connected.

  • 出版日期2010-3