Stochastic Processes with R av Olga (California State University Long Beach USA) Korosteleva

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<P><STRONG><EM>Stochastic Processes with R: An Introduction</EM></STRONG> cuts through the heavy theory that is present in most courses on random processes and serves as practical guide to simulated trajectories and real-life applications for stochastic processes. The light yet detailed text provides a solid foundation that is an ideal companion for undergraduate statistics students looking to familiarize themselves with stochastic processes before going on to more advanced courses.</P><B><P>Key Features</P><UL></B><P><LI>Provides complete R codes for all simulations and calculations</LI><P></P><P><LI>Substantial scientific or popular applications of each process with occasional statistical analysis</LI><P></P><P><LI>Helpful definitions and examples are provided for each process</LI><P></P><P><LI>End of chapter exercises cover theoretical applications and practice calculations</LI><P></P></UL><B><P></P><P></B> </P>