In this paper, we show that the conditional frequentist method of testing a precise hypothesis can be made virtually equivalent to Bayesian testing. The conditioning strategy proposed by Berger, Brown ...

under H 0 and H 1, respectively, where n represents the total sample size in the study (cases and controls). M 0 (n,k) is analogous to a type I error, yet is not fixed by design at α. M i (n,k) i=0,1 ...

Testing of hypotheses for discrete distributions is considered in this paper. The goal is to develop conditional frequentist tests that allow the reporting of data ...

This is a guest post by Nathan Paxton. As social scientists, at least as regards what we can empirically assess, we tend to make statements of probability rather than fact. So rather than say that ...

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...