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Introduction to probability models / Sheldon M Ross.

By: Material type: TextTextPublication details: Los Angels : Academic Press , 2019.Edition: 12Description: x, 826p. : ill. ; 21 cmISBN:
  • 9780128143469
Subject(s):
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"--
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Holdings
Item type Current library Collection Call number Vol info Status Date due Barcode
Main Short Main Short Martin Oduor-Otieno Library This item is located on the library ground floor Non-fiction QA273 .R84 2019 (Browse shelf(Opens below)) 300040/19 Available MOOL19080100
Browsing Martin Oduor-Otieno Library shelves, Shelving location: This item is located on the library ground floor, Collection: Non-fiction Close shelf browser (Hides shelf browser)
QA184.2 .K65 2005 Introductory linear algebra : QA184.2 .L46 2006 Linear algebra with applications / QA184.2 .L46 2015 Linear algebra with applications / QA273 .R84 2019 Introduction to probability models / QA273 .R8647 2014 Introduction to probability / QA273 .R865 2003 Introduction to probablility and statistical inference / QA274 .B78 1999 Basic stochastic processes :

Includes bibliographic 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"--

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