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.
İçerik tablosu
Probability Tools for Stochastic Modelling.- Renewal Theory.- Markov Chains.- Markov Renewal Processes, 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.
Dil İngilizce ● Biçim PDF ● Sayfalar 310 ● ISBN 9780387295480 ● Dosya boyutu 11.1 MB ● Yayımcı Springer US ● Kent NY ● Yayınlanan 2006 ● İndirilebilir 24 aylar ● Döviz EUR ● Kimlik 2144587 ● Kopya koruma Sosyal DRM