A two-stage Bayesian model is proposed to provide reliable analysis for supersaturated designs and to analyze any type of data set when:The number of independent variables is large.A relatively small number of these factors are likely to be active.Only a relatively small number of observations can be taken.All active factors have first order effects that are at least as large as interactions and higher order effects.
展开▼
