| Autor: |
Ortega-Azurduy, S. A., Tan, F. E. S., Berger, M. P. F. |
| Předmět: |
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| Zdroj: |
Communications in Statistics: Simulation & Computation; Jan2009, Vol. 38 Issue 1, p14-30, 17p, 4 Charts, 1 Graph |
| Abstrakt: |
We apply a maximin criterion to examine the relative efficiency of several Dq-optimal designs for a family of linear mixed models. Incorrect specifications of the order of the polynomial, size of the autocorrelation parameter, number of random parameters, and the correlation between random intercept and random slope are investigated. The results of our study allow us to draw the following conclusions: (1) the maximin Dq-optimal design encountered appears to be highly efficient; (2) the variation of the minimum relative efficiencies of Dq-optimal designs of the family of linear mixed models that were studied decreases as the order of the polynomial increases; (3) the effect of the autocorrelation parameter on the relative efficiencies of Dq-optimal designs is the largest for first-degree polynomials; and (4) the relative efficiency of the equidistant design is lower than that of the maximin value and also lower than the reference value 0.85. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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