Sergio Pozuelo-Campos, University of Castilla-La Mancha
Abstract: Toxicological tests are widely used to study toxicity in aquatic environments. Reproduction is a possible endpoint of this type of experiments and in this case the response variable are counts. There exits literature about the suitable probability distribution should be considered for analysing these data. In the theory of optimal experimental design, the assumption of this probability distribution is essential and when this assumption is not adequate, there may be a loss of efficiency in the design obtained. The main objective of this work is to propose robust designs when there is uncertainty about the probability distribution of the response variable. The results have been applied to toxicological tests based on Ceriodaphnia Dubia and Lemna Minor, in addition to testing the properties of the designs obtained a simulation study is performed.