On asymptotic description of a probabilistic change-point model for a two-state discrete Markov process

For jump variation of parameters of a two-state discrete Markov process, we obtain an asymptotic representation of the likelihood ratio. Its use in the joint change-point detection and estimation problem is illustrated by an example.