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- W2615746522 abstract "We consider estimation of main effects using two-level fractional factorial designs under the baseline parameterization. Previous work in the area indicates that orthogonal arrays are more efficient than one-factor-at-a-time designs whereas the latter are better than the former in terms of minimizing the bias due to non-negligible interactions. Using efficiency criteria, this paper examines a class of compromise designs obtained by adding runs to one-factor-at-a-time designs. A theoretical result is established for the case of adding one run. For adding two or more runs, we develop a complete search algorithm to find optimal compromise designs." @default.
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- W2615746522 date "2017-11-01" @default.
- W2615746522 modified "2023-09-27" @default.
- W2615746522 title "Compromise designs under baseline parameterization" @default.
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- W2615746522 doi "https://doi.org/10.1016/j.jspi.2017.04.003" @default.
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