Overview
- Includes numerous figures and diagrams to aid comprehension of the basic concepts, examples and problems
- Features introductory examples, which are revisited as the new concepts are presented
- Provides step-by-step solutions to all exercises and problems
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Table of contents (18 chapters)
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Front Matter
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Basics of Probability
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Front Matter
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Basics of Stochastic Processes
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Front Matter
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Keywords
About this book
This textbook explores probability and stochastic processes at a level that does not require any prior knowledge except basic calculus. It presents the fundamental concepts in a step-by-step manner, and offers remarks and warnings for deeper insights. The chapters include basic examples, which are revisited as the new concepts are introduced. To aid learning, figures and diagrams are used to help readers grasp the concepts, and the solutions to the exercises and problems. Further, a table format is also used where relevant for better comparison of the ideas and formulae. The first part of the book introduces readers to the essentials of probability, including combinatorial analysis, conditional probability, and discrete and continuous random variable. The second part then covers fundamental stochastic processes, including point, counting, renewal and regenerative processes, the Poisson process, Markov chains, queuing models and reliability theory. Primarily intended for undergraduate engineering students, it is also useful for graduate-level students wanting to refresh their knowledge of the basics of probability and stochastic processes.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Basics of Probability and Stochastic Processes
Authors: Esra Bas
DOI: https://doi.org/10.1007/978-3-030-32323-3
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-32322-6Published: 14 November 2019
Softcover ISBN: 978-3-030-32325-7Published: 14 November 2020
eBook ISBN: 978-3-030-32323-3Published: 05 November 2019
Edition Number: 1
Number of Pages: IX, 307
Topics: Markov model, Engineering Mathematics, Combinatorics, Quality Control, Reliability, Safety and Risk