Beschreibung:
<p>D-optimal designs on the intervals [a, b] are determined for the homoscedastic linear model with regression function $f^{T}_{k} (x) = (x, \ldots , x^{k})$. Motivation, properties and peculiarities of these designs are provided. In particular, the number of support points of the optimal designs for such models depends on the values of a and b, as well as an ordered eigenvalue of certain matrix. Analytical results are derived for selected values of a and b, and where they are not available, numerically optimal designs are computed. The technique here can be used to find optimal designs on more general design intervals and extend some known results (for example, Lau (1983)). Under the model considered here lower D- and G-efficiency bounds of the D-optimal designs for the full polynomial model are included.</p>