Introduction to Probability Models.
Publisher: London, United Kingdom ; San Diego, CA : Academic Press, an imprint of Elsevier, 2024Copyright date: 2024Edition: Thirteenth editionDescription: xvii, 852 pages : illustrations ; 23 cmContent type:- text
- unmediated
- volume
- 9780443187612
- 0443187614
- 519.2 23/eng/20230724
- QA273 .R84 2024
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds | |
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NCAR Library Mesa Lab | QA273 .R84 2024 | 1 | Available | 50583020036483 |
Previous edition: 2019.
Includes bibliographical references and index.
Introduction to Probability Models: Thirteenth Edition is available in two volumes: an Elementary edition appropriate for undergraduate use and an Advanced edition for graduate use. Together, and through their hallmark exercises and real examples, both versions offer a comprehensive foundation of this key subject with applications across engineering, computer science, management science, the physical and social sciences and operations research. Users will find comprehensive information that introduces them to the foundations of probability modeling and stochastic processes from Random Variables, to Markov Chains and Renewal Theory.