TY - JOUR
T1 - Comparing robust properties of A, D, E and G-optimal designs
AU - Wong, Weng Kee
PY - 1994/11
Y1 - 1994/11
N2 - We examine the A, D, E and G-efficiencies of using the optimal design for the polynomial regression model of degree k when the hypothesized model is of degree j and 1≤j≤k≤8. The robustness properties of each of these optimal designs with respect to the other optimality criteria are also investigated. Relationships among these efficiencies are noted and practical implications of the results are discussed. In particular, our numerical results show E-optimal designs possess several properties not shared by the A, D and G-optimal designs.
AB - We examine the A, D, E and G-efficiencies of using the optimal design for the polynomial regression model of degree k when the hypothesized model is of degree j and 1≤j≤k≤8. The robustness properties of each of these optimal designs with respect to the other optimality criteria are also investigated. Relationships among these efficiencies are noted and practical implications of the results are discussed. In particular, our numerical results show E-optimal designs possess several properties not shared by the A, D and G-optimal designs.
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U2 - 10.1016/0167-9473(94)90161-9
DO - 10.1016/0167-9473(94)90161-9
M3 - Article
AN - SCOPUS:0039127251
SN - 0167-9473
VL - 18
SP - 441
EP - 448
JO - Computational Statistics and Data Analysis
JF - Computational Statistics and Data Analysis
IS - 4
ER -