Asymptotic Power of Statistical Criteria for Counting Processes

The article obtains the asymptotic behavior of the error probabilities of the maximum-likelihood criteria with asymptotic level $\alpha\in(0,1)$ in the case of discrimination of two counting processes with continuous compensators. Asymptotically locally most powerful criteria for testing the simple hypothesis against the complex parametric alternative are obtained.