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.
Conflicting principles in hypothesis testing
Erich L. Lehmann
University of California, Berkeley