Analysis of Markov Reward Models with Partial Reward Loss Based on a Time Reverse Approach

There are effective numerical methods for the analysis of Markov reward models (MRMs) without or with complete reward loss, but the analysis of MRMs with partial reward loss is more complex. This paper presents the analytical description of the distribution and the moments of the accumulated reward of partial increment loss reward models and an effective… CONTINUE READING