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Introduction to probability models / Sheldon M. Ross.

By: Material type: TextTextPublisher: London, United Kingdom : Academic Press, an imprint of Elsevier, 2014Edition: 11th edDescription: 767 p. ; 24 cmISBN:
  • 9780124079489
Subject(s): DDC classification:
  • 519.2
LOC classification:
  • QA273 .R84 2019
Summary: "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"-- Provided by publisher.
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Holdings
Item type Current library Call number Vol info Copy number Status Date due Barcode
Books Books University Library General Stacks 519.2 R826i (Browse shelf(Opens below)) 2014 C-1 Available 111773
Books Books University Library General Stacks 519.2 R826i (Browse shelf(Opens below)) 2014 C-2 Available 111774
Books Books University Library General Stacks 519.2 R826i (Browse shelf(Opens below)) 2014 C-3 Available 111989

Includes bibliographical references and index.

"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"-- Provided by publisher.