Aberrant Behavior of the Likelihood Function in Discrete Cases

Abstract

An example is given in which the likelihood ratio in favor of a true hypothesis, as opposed to some member of a countable family of pre- specified alternative hypotheses, tends to zero as the sample size becomes large, for any data. A slight modification of this example reveals a similar phenomenon, even when both data and parameter can take on only a known finite set of values.