Stochastic Processes: Modeling and Simulation (Handbook of Statistics 21) By D. N. Shanbhag, C. Radhakrishna Rao
Publisher: El sevie r Publ ishing 2003 | 1020 Pages | ISBN: 0444500138 | DJVU | 6 MB
It is concerned mainly with the theme of reviewing and in some cases,
unifying with new ideas the different lines of research and developments
in stochastic processes of applied flavour. This volume consists of 23
chapters addressing various topics in stochastic processes. These
include, among others, those on manufacturing systems, random graphs,
reliability, epidemic modelling, self-similar processes, empirical
processes, time series models, extreme value theory, applications of
Markov chains, modelling with Monte carlo techniques, and stochastic
processes in subjects such as engineering, telecommunications, biology,
astronomy and chemistry.