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 …

Multi-state system reliability theory has received considerable attention in recent years, as it
is able to characterize the multi-state nature and complicated deterioration process of …

The problem of estimating the Markov renewal matrix and the semi-Markov transition matrix
based on a history of a finite semi-Markov process censored at time T (fixed) is addressed …

In this work we focus on multi state systems that we model by means of semi-Markov
processes. The sojourn times are seen to be independent not identically distributed random …

We define estimators of reliability and availability of such systems and show that they are
uniformly strongly consistent and that each of them converges weakly to a normal random …

Understanding the post-disaster recovery process of industrial sectors is critical for ensuring
a quicker recovery and estimating economic losses instigated by disasters. However, the …

The most fundamental and intriguing problem in seismology and geophysics is earthquake
predictability. Scientific reasoning oscillates throughout the years between rejective and …

We measure the effectiveness of a repairable system by the proportion of time the system is
on, where on‐time and off‐times are assumed independent and both gamma‐distributed …

The present article aims at the description and application of a discrete-time hidden semi-
Markov model in seismology in order to reveal some key features of the earthquake …

A semi-Markov setting is considered in order to study the main dependability measures of a
repairable continuous time system under the hypothesis that the evolution in time of its …