A researcher uses Box-Behnken design instead of a central composite design. A key advantage of Box-Behnken is that it:
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A
Requires fewer experimental runs than a two-level factorial
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B
Avoids experiments at extreme (corner) combinations of all factors simultaneously
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C
Allows estimation of cubic terms in the model
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D
Provides better prediction accuracy at the design center