Conflicting principles in hypothesis testing

Erich L. Lehmann
University of California, Berkeley

Abstract

The talk considers statistical principles such as unbiasedness, minimaxity, monotonicity, Bayes, and likelihood ratio.  I discuss a number of examples in which these principles lead to strongly conflicting solutions, and examine the difficult choices which then have to be faced.