Aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems.
The book is self-contained and, starting from a low level of probability concepts, gradually brings the reader to a deep knowledge of semi-Markov processes.
Presents homogeneous and non-homogeneous semi-Markov processes, as well as Markov and semi-Markov rewards processes.
The concepts are fundamental for many applications, but they are not as thoroughly presented in other books on the subject as they are here.
Preface.- Probability tools for stochastic modeling.- Renewal theory.- Markov Chains.- Markov renewal theory, Markov random walks and semi-Markov processes.- Functionals of (J-X) processes.- Non-homogeneous Markov and semi-Markov processes.- Markov and semi-Markov reward processes.- References.- Author index.- Subject index.
© 2008-2024 Fundación Dialnet · Todos los derechos reservados