A method for obtaining estimates of parameters of a dynamic Markov process

The paper is concerned with methods of obtaining estimates of parameters for dynamic Markov processes from experimental integral characteristics. For processes described as an arbitrary absorbing Markov chain ways to determine the values of parameters of that chain are studied with the specified absorption probability as a function of time. Inequalities are found which describe the probability of at least one return to the initial state, mean number of states in the trajectory, etc.