A Note on Bayesian, Likelihood, and Sampling Distribution Inferences

Abstract

A simple example is presented that illustrates advantages of Bayesian and likelihood methods of inference relative to sampling distribution methods of inference. It is argued that Bayesian and likelihood methods of inference should be utilized more generally to analyze real data. Sampling distributions should be used to evaluate the long term performance of procedures.