To assess tree growth, for example in diameter, a forester typically measures the trees at regular time points. We call such designs equidistant. In this paper we look at the robustness and efficiency of several experimental designs, using the D-optimality criterion, in a case study of diameter growth in cork oaks. We compare D-optimal designs (unrestricted and replication-free) with equidistant designs. We further compare designs in different experimental regions. Results indicate that the experimental region should be adequate to the problem, and that D-optimal designs are substantially more efficient than equidistant designs, even under parameter mis-specification.
|Publication status||Published - 2002|
Paulo, M. J., & Rasch, D. (2002). Robustness and efficiency of D-optimal experimental designs in a growth problem. Biometrical Journal, 44(5), 527-540. https://doi.org/10.1002/1521-4036(200207)44:5<527::AID-BIMJ527>3.0.CO;2-L