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On the E-optimality of truncated block designs
Authors:Sudesh K Srivastav  John P Morgan
Institution:1. Department of Biostatistics, Tulane University, New Orleans, Louisiana, 70112-2699, USA
2. Department of Statistics, Virginia Tech, Blacksburg, Virginia, 24061-0439, USA
Abstract:Sufficient conditions are found for designs, derived from completely symmetric designs by deleting binary blocks, to be E-optimal. Sufficient conditions are also found for E-optimality of designs obtained from other E-optimal designs by deleting all blocks forming a balanced incomplete block design on a subset of the treatments. The results include many binary and non-binary designs for which E-optimality was previously unknown.
Keywords:
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