Introduction to probability models. 12th edition. (English) Zbl 1408.60002
Amsterdam: Elsevier/Academic Press (ISBN 978-0-12-814346-9/hbk; 978-0-12-814347-6/ebook). xv, 826 p. (2019).
Publisher’s description: 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.
See the review of the 7th edition in [Zbl 0977.60001]. For the 8th, 9th, 10th and 11th editions see [Zbl 1019.60003; Zbl 1118.60002; Zbl 1184.60002; Zbl 1284.60002].
See the review of the 7th edition in [Zbl 0977.60001]. For the 8th, 9th, 10th and 11th editions see [Zbl 1019.60003; Zbl 1118.60002; Zbl 1184.60002; Zbl 1284.60002].
MSC:
60-01 | Introductory exposition (textbooks, tutorial papers, etc.) pertaining to probability theory |
60J10 | Markov chains (discrete-time Markov processes on discrete state spaces) |
60G60 | Random fields |
60J22 | Computational methods in Markov chains |
60Kxx | Special processes |