On likelihood ratio tests

By Erich Leo Lehmann. 2006

50 citations recorded by the source corpus.

Likelihood ratio tests are intuitively appealing. Nevertheless, a number of examples are known in which they perform very poorly The present paper discusses a large class of situations in which this is the case, and analyzes just how intuition misleads us; it also presents an alternative approach which in these situations is optimal.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/a70fb7d03a2b6e3ccf39a6f5c79b05e4d158d40f