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Introduction to Probability Models.

By: Material type: TextTextPublisher: London, United Kingdom : Academic Press, an imprint of Elsevier, [2024]Copyright date: ©2024Edition: Thirteenth editionDescription: xvii, 852 pages : illustrations ; 23 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780443187612
  • 0443187614
Subject(s): DDC classification:
  • 519.2 ROS 2024 23/eng/20230724
LOC classification:
  • QA273 .R84 2024
Summary: 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.
List(s) this item appears in: New Book 2024
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Holdings
Item type Current library Home library Collection Shelving location Call number Status Date due Barcode Item holds
Open Collection Open Collection FIRST CITY UNIVERSITY COLLEGE FIRST CITY UNIVERSITY COLLEGE Open Collection FCUC Library 519.2 ROS 2024 (Browse shelf(Opens below)) Available 00025112
Total holds: 0

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.