Bayesian design of experiments for generalized linear models and dimensional analysis with industrial and scientific application

The design of an experiment can always be considered at least implicitly Bayesian, with prior knowledge used informally to aid decisions such as the variables to be studied and the choice of a plausible relationship between the explanatory variables and..