Applied Stochastic Processes
Applied Stochastic Processes
Applied Stochastic Processes uses a distinctly applied framework to present the most important topics in the field of stochastic processes. Key features: -Presents carefully chosen topicssuch as Gaussian and Markovian processes, Markov chains, Poisson processes, Brownian motion, and queueingtheory -Examinesin detailspecial diffusion processes,with implications for finance,various generalizations of Poisson processes, and renewal processes -Servesgraduatestudents ina variety of disciplines such as applied mathematics, operations research, engineering, finance,and business administration -Containsnumerous examples andapproximately 350 advanced problems,reinforcing both concepts and applications -Includes entertaining mini-biographies of mathematicians,givingan enriching historical context -Covers basic results in probability Two appendices with statistical tables and solutions to the even-numbered problemsare included at the end.This textbook is for graduate students in applied mathematics, operations research,and engineering.Pure mathematics students interested in the applications of probability and stochastic processes and students in business administrationwill also find thisbook useful.
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