Optimal incomplete block designs
Alia Sajjad (University of Windsor, Canada)
When it comes to the best experimental designs statisticians need
the ones that give them the estimates with minimum possible variance.
Towards the quest of these designs different criteria can be used based
upon the average variance, the maximum variance or the volume of the
confidence region. This discussion gives the construction of optimal
incomplete block designs with nearly minimal number of observations
with respect to D-optimality (minimizing the volume of the confidence
region) and A-optimality (minimizing the average variance) criteria.
A unified approach towards the use of the associated graphs has been