Presents carefully chosen topics such as Gaussian and Markovian processes, Markov Chains, Poisson processes, Brownian motion and queueing theory
Examines in detail special diffusion processes, with implications for finance, various generalizations of Poisson processes and renewal processes
Serves graduate students in a variety of disciplines such as applied mathematics, operations research, engineering, finance and business administration
Contains numerous examples and approximately 350 advanced problems, reinforcing both concepts and applications
Includes entertaining minibiographies of mathematicians, giving an enriching historical context
Covers basic results in probability to make the text self-contained
This book uses a distinctly applied framework to present the most important topics in stochastic processes, including Gaussian and Markovian processes, Markov Chains, Poisson processes, Brownian motion and queueing theory. The book also examines in detail special diffusion processes, with implications for finance, various generalizations of Poisson processes, and renewal processes. It contains numerous examples and approximately 350 advanced problems that reinforce both concepts and applications. Entertaining mini-biographies of mathematicians give an enriching historical context. The book includes statistical tables and solutions to the even-numbered problems at the end.
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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 topics such as Gaussian and Markovian processes, Markov chains, Poisson processes, Brownian motion, and queueing theory
-Examines in detail special diffusion processes, with implications for finance, various generalizations of Poisson processes, and renewal processes
-Serves graduate students in a variety of disciplines such as applied mathematics, operations research, engineering, finance, and business administration
-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 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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This book uses a distinctly applied framework to present the most important topics in stochastic processes, including Gaussian and Markovian processes, Markov Chains, Poisson processes, Brownian motion and queueing theory. The book also examines in detail special diffusion processes, with implications for finance, various generalizations of Poisson processes, and renewal processes. It contains numerous examples and approximately 350 advanced problems that reinforce both concepts and applications. Entertaining mini-biographies of mathematicians give an enriching historical context. The book includes statistical tables and solutions to the even-numbered problems at the end. This textbook is written for graduate students in applied mathematics, operations research, and electrical engineering. Pure mathematics students interested in the applications of probability and stochastic processes and students in business administration will also find this book useful.
Review of Probability Theory.- Stochastic Processes.- Markov Chains.- Diffusion Processes.- Poisson Processes.- Queueing Theory.
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 topics such as Gaussian and Markovian processes, Markov chains, Poisson processes, Brownian motion, and queueing theory
-Examines in detail special diffusion processes, with implications for finance, various generalizations of Poisson processes, and renewal processes
-Serves graduate students in a variety of disciplines such as applied mathematics, operations research, engineering, finance, and business administration
-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 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.
Bio: Mario Lefebvre received his B.Sc. and M.Sc. in mathematics from the Université de Montréal, Canada, and his Ph.D. in mathematics from the University of Cambridge, England. He is a professor in the Department of Mathematics and Industrial Engineering at the École Polytechnique de Montréal. He has written five books, including another Springer title, Applied Probability and Statistics, and has published numerous papers on applied probability, statistics, and stochastic processes in international mathematical and engineering journals. This book developed from the author´s lecture notes for a course he has taught at the École Polytechnique de Montréal since 1988.
o, Zentralblatt MATH, Vol. 1127 (4), 2008)
"This book on stochastic processes is aimed at mathematics students ... and students from other disciplines such as engineering. ... Each chapter is concluded with many exercises—337 in total in the book. ... 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. ... 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)
"The introductory course on stochastic processes provided in this text is aimed mainly at students of (electrical) engineering and applied mathematics (operations research). ... The overall style of writing is pedagogically clear. ... Every chapter ends with numerous exercises, about 350 in total. ... Thus, the text is useful for self-study and for the intended audience of students." (Paul Embrechts, Journal of the American Statistical Association, Vol. 103 (484), December, 2008)
This book uses a distinctly applied framework to present the most important topics in stochastic processes, including Gaussian and Markovian processes, Markov Chains, Poisson processes, Brownian motion and queueing theory.
This book uses a distinctly applied framework to present the most important topics in stochastic processes, including Gaussian and Markovian processes, Markov Chains, Poisson processes, Brownian motion and queueing theory. The book also examines in detail special diffusion processes, with implications for finance, various generalizations of Poisson processes, and renewal processes. It contains numerous examples and approximately 350 advanced problems that reinforce both concepts and applications. Entertaining mini-biographies of mathematicians give an enriching historical context. The book includes statistical tables and solutions to the even-numbered problems at the end.
Review of Probability Theory.
- Stochastic Processes.
- Markov Chains.
- Diffusion Processes.
- Poisson Processes.
- Queueing Theory.
- Appendix A. Statistical tables.
- Appendix B. Answers to even-numbered exercises.
- References.
- Index
Über den Autor
Inhaltsverzeichnis
Review of Probability Theory.- Stochastic Processes.- Markov Chains.- Diffusion Processes.- Poisson Processes.- Queueing Theory.
Klappentext
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 topics such as Gaussian and Markovian processes, Markov chains, Poisson processes, Brownian motion, and queueing theory
-Examines in detail special diffusion processes, with implications for finance, various generalizations of Poisson processes, and renewal processes
-Serves graduate students in a variety of disciplines such as applied mathematics, operations research, engineering, finance, and business administration
-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 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.
This book uses a distinctly applied framework to present the most important topics in stochastic processes, including Gaussian and Markovian processes, Markov Chains, Poisson processes, Brownian motion and queueing theory. The book also examines in detail special diffusion processes, with implications for finance, various generalizations of Poisson processes, and renewal processes. It contains numerous examples and approximately 350 advanced problems that reinforce both concepts and applications. Entertaining mini-biographies of mathematicians give an enriching historical context. The book includes statistical tables and solutions to the even-numbered problems at the end. This textbook is written for graduate students in applied mathematics, operations research, and electrical engineering. Pure mathematics students interested in the applications of probability and stochastic processes and students in business administration will also find this book useful.
