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Editorial ReviewsReview
From the reviews: "This book is an excellent reference for those interested in how probability theory can be applied to concrete problems arising in engineering, biology, management science and operation research. a ] Several tables and figures enrich the book. Turning to more technical remarks, the book is certainly very well written, the proofs are clear and the examples are often illuminating. a ] This book will be valuable to graduate students or professionals a ] . The large number of problems makes it suitable for self study." (Fabio Mainardi, MathDL, April, 2007) "The book aims at providing the readers with a reference that covers the most important subjects in the field of stochastic processes and that is accessible to students who do not necessarily have a sound theoretical knowledge of mathematics. a ] In addition to the examples presented in the theory, the book contains approximately 350 exercises, many of which are multiple-part problems." (Oleg K. Zakusilo, Zentralblatt MATH, Vol. 1127 (4), 2008) "This book on stochastic processes is aimed at mathematics students a ] and students from other disciplines such as engineering. a ] Each chapter is concluded with many exercisesa "337 in total in the book. a ] In general, the book is based on the trusted principles that all functions are measurable and all distributions are either discrete, or continuous, or mixed. a ] this is a well-structured text with a strong focus on doing calculations and applying the facts just learned." (Jan M. Swart, Mathematical Reviews, Issue 2008 g)
Product Description
"Applied Stochastic Processes" uses a distinctly applied framework to present the most important topics in the field of stochastic processes. This book presents carefully chosen topics such as Gaussian and Markovian processes, Markov chains, Poisson processes, Brownian motion, and queueing theory. It examines in detail special diffusion processes, with implications for finance, various generalizations of Poisson processes, and renewal processes. It serves graduate students in a variety of disciplines such as applied mathematics, operations research, engineering, finance, and business administration. It contains numerous examples and approximately 350 advanced problems, reinforcing both concepts and applications. It includes entertaining mini-biographies of mathematicians, giving an enriching historical context. It covers basic results in probability. Two appendices with statistical tables and solutions to the even-numbered problems are 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 administration will also find this book useful.
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