A new Monte-Carlo procedure for calculating unbiased estimations of reliability and effectiveness indices is proposed. The procedure based on solving a linear integral equation of second kind with a substochastic kernel is used for random processes containing the nested semi-Markov process. The relation between the offered estimates and the well-known ones is shown and the problems of their classification are considered.