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 ...

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 ...

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 ...

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 ...

It is well known that standard frequentist inference breaks down in IV regressions with weak instruments. Bayesian inference with diffuse priors suffers from the same problem. We show that the issue ...

It turns out that the old adage about statistics and damned lies wasn’t a joke. Sticks and stones may be bonebreakers, and words inflict no (physical) pain, but numbers can kill. In 2004, for instance ...