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Optimal $2^K$ Paired Comparison Designs for Third-Order Interactions

stat.ME · 2019-08-16 · conditional · novelty 5.0

For the third-order interaction subvector a single comparison depth is optimal, while D-optimal designs for the full parameter vector use two depths, explicitly proven for S=4 and numerically verified for full profiles with S=5 to 12.

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  • Optimal $2^K$ Paired Comparison Designs for Third-Order Interactions stat.ME · 2019-08-16 · conditional · none · ref 8

    For the third-order interaction subvector a single comparison depth is optimal, while D-optimal designs for the full parameter vector use two depths, explicitly proven for S=4 and numerically verified for full profiles with S=5 to 12.