Comparing design of experiments and optimal experimental design techniques for modelling the microbial growth rate under static environmental conditions Universiteit Antwerpen KU Leuven
Building secondary models that describe the growth rate as a function of multiple environmental conditions is often very labour intensive and costly. As such, the current research aims to assist in decreasing the required experimental effort by studying the efficacy of both design of experiments (DOE) and optimal experimental designs (OED) techniques. This is the first research in predictive microbiology (i) to make a comparison of these ...