Bayesian and Classical Statistical Methods Applied to Randomized Weather Modification Experiments

Abstract

Statistical procedures for analyzing the results of randomized weather modification experiments are presented in a format designed to emphasize their underlying assumptions. A parallel development of Bayesian and classical statistical techniques is given to demonstrate that both methodologies can be used under the assumed experimental conditions and that the difficulties in applying either are comparable.