Some results on constructing two-level block designs with general minimum lower order confounding |
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Authors: | Sheng-Li Zhao Qian-Qian Zhao |
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Institution: | School of Statistics, Qufu Normal University, Qufu, China |
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Abstract: | Block designs are widely used in experimental situations where the experimental units are heterogeneous. The blocked general minimum lower order confounding (B-GMC) criterion is suitable for selecting optimal block designs when the experimenters have some prior information on the importance of ordering of the treatment factors. This paper constructs B-GMC 2n ? m: 2r designs with 5 × 2l/16 + 1 ? n ? (N ? 2l) < 2l ? 1 for l(r + 1 ? l ? n ? m ? 1), where 2n ? m: 2r denotes a two-level regular block design with N = 2n ? m runs, n treatment factors, and 2r blocks. With suitable choice of the blocking factors, each B-GMC block design has a common specific structure. Some examples illustrate the simple and effective construction method. |
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Keywords: | Aliased effect-number pattern effect hierarchy principle minimum lower order confounding resolution Yates order |
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