Using the Stepwise Bayes Technique to Choose Between Experiments

Abstract

In Meeden and Ghosh (1983) a theory was developed for choosing, possibly at random, from a group of experiments the one to be observed. Here we consider the problem when the class of possible designs is restricted to a subclass of all designs. A theorem which identifies some admissible decision procedures and generalizes the early work is proved. Some applications to finite population sampling are discussed.