Semi-Markov Processes: Applications in System Reliability and Maintenance is a modern
view of discrete state space and continuous time semi-Markov processes and their …

This paper addresses the issues of stability analysis and stabilizing controller design for two
classes of discrete-time non-homogeneous semi-Markov jump linear systems (S-MJLSs) …

Discrete time Markov models are used in a wide variety of social sciences. However, these
models possess the memoryless property, which makes them less suitable for certain …

Cost and effectiveness are usually modeled according to one studied event or one health
state with parametric or non‐parametric methods. In this paper, we propose an original …

We address the problem of finding a natural continuous time Markov type process—in open
populations—that best captures the information provided by an open Markov chain in …

A mathematical model in a multi-level manpower planning setting is developed and
analyzed incorporating the divisions of an organization's personnel into several …

In AIDS control, physicians have a growing need to use pragmatically useful and
interpretable tools in their daily medical taking care of patients. Semi-Markov process seems …

This paper introduces a modelling framework which combines Data Envelopment Analysis
and Markov Chains into an integrated decision aid. Markov Chains are typically used in …

Usually, a reliability function is defined by a failure rate which is a real function taking the
non-negative real values. In this paper the failure rate is assumed to be a stochastic process …

Non-Homogeneous Markov Chains and Systems: Theory and Applications fulfills two
principal goals. It is devoted to the study of non-homogeneous Markov chains in the first part …