Mario Lefebvre, Applied Stochastic Processes,Universitext,
Springer, 2006. ISBN-10: 0387341714, 382 Pages。
Applied Stochastic Processes uses a distinctly applied framework topresent the most important topics in the field of stochastic processes.
Key features:
-Presents carefully chosen topics such as Gaussian and Markovianprocesses, Markov chains, Poisson processes, Brownian motion, andqueueing theory
-Examines in detail special diffusion processes, with implications forfinance, various generalizations of Poisson processes, and renewalprocesses
-Serves graduate students in a variety of disciplines such as appliedmathematics, operations research, engineering, finance, and businessadministration
-Contains numerous examples and approximately 350 advanced problems, reinforcing both concepts and applications
-Includes entertaining mini-biographies of mathematicians, giving an enriching historical context
-Covers basic results in probability
Two appendices with statistical tables and solutions to theeven-numbered problems are included at the end. This textbook is forgraduate students in applied mathematics, operations research, andengineering. Pure mathematics students interested in the applicationsof probability and stochastic processes and students in businessadministration will also find this book useful.