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Efficiencies of Rounded Optimal Approximate Designs for Small Samples
Author(s) -
Imhof L.,
LopezFidalgo J.,
Wong W. K.
Publication year - 2001
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/1467-9574.00171
Subject(s) - optimal design , mathematics , sample size determination , mathematical optimization , polynomial , sample (material) , algorithm , statistics , mathematical analysis , chemistry , chromatography
Optimal exact designs are notoriously hard to study and only a few of them are known for polynomial models. Using recently obtained optimal exact designs (I mhof , 1997), we show that the efficiency of the frequently used rounded optimal approximate designs can be sensitive if the sample size is small. For some criteria, the efficiency of the rounded optimal approximate design can vary by as much as 25% when the sample size is changed by one unit. The paper also discusses lower efficiency bounds and shows that they are sometimes the best possible bounds for the rounded optimal approximate designs.