On asymptotical optimality of criterion in a hypothesis testing problem for Markov jump processes

A family of jumping Markov processes depending on a real parameter is considered. We test a simple hypothesis versus one-sided alternative on the base of increasing volume of observations. We suggest a test for this problem which is proved to be second order asymptotically efficient. This proof does not require asymptotic expansions of power functions.