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Applied stochastic processes/ Mario Lefebvre.

By: Lefebvre, Mario.
Material type: materialTypeLabelBookSeries: Universitext. Publisher: New York : Springer, 2018Edition: 1st South Asian ed.Description: x, 382 pages : illustrations.ISBN: 9781493976300.Subject(s): Stochastic processes | Processus stochastiques | WaarschijnlijkheidstheorieDDC classification: 519.22
Contents:
1. Review of Probability Theory 2. Stochastic Processes 3. Markov Chains 4. Diffusion Processes 5. Poisson Processes 6. Queueing Theory Appendix A: Statistical Tables Appendix B: Answers to Even-Numbered Exercises.
Summary: "Applied Stochastic Processes uses a distinctly applied framework to present the most important topics in the field of stochastic processes. 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."--Jacket.
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Non-fiction 519.22 LEF (Browse shelf) Available 37694
Browsing CUTN Central Library Shelves , Shelving location: Sciences , Collection code: Non-fiction Close shelf browser
519.2 PAL Probability and Random Process 519.2 ROS A first course in probability / 519.2 WAL Knowing the odds : 519.22 LEF Applied stochastic processes/ 519.23 KAR Introduction to stochastic calculus. 519.3 BIN Game theory : 519.3 BIN Game theory :

Electronic books

1. Review of Probability Theory
2. Stochastic Processes
3. Markov Chains
4. Diffusion Processes
5. Poisson Processes
6. Queueing Theory
Appendix A: Statistical Tables
Appendix B: Answers to Even-Numbered Exercises.


"Applied Stochastic Processes uses a distinctly applied framework to present the most important topics in the field of stochastic processes. 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."--Jacket.

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