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    Probability, Statistics, and Queueing Theory: With Computer Science Applications
    Probability, Statistics, and Queueing Theory: With Computer Science Applications
    Probability, Statistics, and Queueing Theory: With Computer Science Applications
    Ebook355 pages7 hours

    Probability, Statistics, and Queueing Theory: With Computer Science Applications

    By Arnold O. Allen and Werner Rheinboldt

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    About this ebook

    Probability, Statistics, and Queueing Theory: With Computer Science Applications focuses on the use of statistics and queueing theory for the design and analysis of data communication systems, emphasizing how the theorems and theory can be used to solve practical computer science problems. This book is divided into three parts. The first part discusses the basic concept of probability, probability distributions commonly used in applied probability, and important concept of a stochastic process. Part II covers the discipline of queueing theory, while Part III deals with statistical inference. This publication is designed as a junior-senior level textbook on applied probability and statistics with computer science applications, but is also a self-study book for practicing computer science (data processing) professionals.
    LanguageEnglish
    PublisherAcademic Press
    Release dateMay 10, 2014
    ISBN9781483266596
    Probability, Statistics, and Queueing Theory: With Computer Science Applications
    Author

    Arnold O. Allen

    Arnold O. Allen is a member of the technical staff of the Performance Technology Center at Hewlett-Packard. He received his Ph.D. in mathematics from UCLA. Much of the material in the book was developed for classes in probability, statistics, queueing theory, and computer modeling that he taught as UCLA, IBM, and Hewlett-Packard. Dr. Allen has been active in teaching conference tutorials on computer modeling and was the keynote speaker at two international conferences.

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