Minimax designs for a particolar parametrization of binary response models

Maximum variance (MV) and Standarized maximum variance (SMV) optimum designs for binary response models have already been studied in the literature. In this work, some theoretical results, useful for researchers working on a specific binary model, are given. The MV- and SMV-optimum designs are also compared with a classical real-life design and with other optimum designs. These comparisons are possible because of explicit formulas for local optimum designs and their efficiencies computed here.