Introduction to probability models / Sheldon M. Ross.

Author/creator Ross, Sheldon M. author.
Format Electronic
EditionTwelfth edition.
PublicationLondon, United Kingdom : Academic Press, an imprint of Elsevier, 2019.
Description1 online resource
Supplemental ContentScienceDirect
Subjects

Contents Chapter 1. Introduction to Probability Theory -- Chapter 2. Random Variables -- Chapter 3. Conditional Probability and Conditional Expectation -- Chapter 4. Markov Chains -- Chapter 5. The Exponential Distribution and the Poisson Process -- Chapter 6. Continuous-Time Markov Chains -- Chapter 7. Renewal Theory and Its Applications -- Chapter 8. Queueing Theory -- Chapter 9. Reliability Theory -- Chapter 10. Brownian Motion and Stationary Processes -- Chapter 11. Simulation -- Chapter 12. Coupling.
Abstract Introduction to Probability Models, Twelfth Edition, is the latest version of Sheldon Ross's classic bestseller. This trusted book introduces the reader to elementary probability modelling and stochastic processes and shows how probability theory can be applied in fields such as engineering, computer science, management science, the physical and social sciences and operations research. The hallmark features of this text have been retained in this edition, including a superior writing style and excellent exercises and examples covering the wide breadth of coverage of probability topics. In addition, many real-world applications in engineering, science, business and economics are included.
General noteIncludes index.
Bibliography noteIncludes bibliographical references and index.
Source of descriptionOnline resource; title from PDF title page (ScienceDirect, viewed March 19, 2019).
Issued in other formPrint version: Ross, Sheldon M. Introduction to probability models. Twelfth edition. London, United Kingdom : Academic Press, an imprint of Elsevier, 2019 0128143460 9780128143469
ISBN9780128143476 (electronic book)
ISBN0128143479 (electronic book)
ISBN(print)

Availability

Library Location Call Number Status Item Actions
Electronic Resources Access Content Online ✔ Available