Construction of resolvable spatial row-column designs
Resolvable row-column designs are widely used in field trials to control variation and improve the precision of treatment comparisons. Further gains can often be made by using a spatial model or a combination of spatial and incomplete blocking components. Martin, Eccleston, and Gleeson (1993, Journal of Statistical Planning and Inference34, 433-450) presented some general principles for the construction of robust spatial block designs which were addressed by spatial designs based on the linear...[Show more]
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