Abstract
AbstractIn this article we give an overview of Markov models that are used for describing dynamics of operating environments in reliability analysis. We present both continuous‐ and discrete‐time Markov chains as well as diffusion processes. We also consider Markov modulated stochastic processes that are known ashidden Markov modelsand discuss their properties. More specifically, we give an overview of Markov modulated Poisson and Markov modulated Bernoulli processes.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
