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  • Probability, Random Variables and Stochastic Processes with Errata Sheet (Int'l Ed)

    Probability, Random Variables and Stochastic Processes with Errata Sheet (Int'l Ed) by Papoulis, Athanasios; Pillai, S;

    Series: COLLEGE IE (REPRINTS);

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    Product details:

    • Edition number 4
    • Publisher McGraw-Hill Education
    • Date of Publication 16 January 2002

    • ISBN 9780071226615
    • Binding Book
    • No. of pages0 pages
    • Size 0x0x0 mm
    • Language English
    • 0

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    Long description:

    The fourth edition of Probability, Random Variables and Stochastic Processes has been updated significantly from the previous edition, and it now includes co-author S. Unnikrishna Pillai of Polytechnic University. The book is intended for a senior/graduate level course in probability and is aimed at students in electrical engineering, math, and physics departments. The authors' approach is to develop the subject of probability theory and stochastic processes as a deductive discipline and to illustrate the theory with basic applications of engineering interest. Approximately 1/3 of the text is new material--this material maintains the style and spirit of previous editions. In order to bridge the gap between concepts and applications, a number of additional examples have been added for further clarity, as well as several new topics.

    The fourth edition of Probability, Random Variables and Stochastic Processes has been updated significantly from the previous edition, and it now includes co-author S. Unnikrishna Pillai of Polytechnic University. The book is intended for a senior/graduate level course in probability and is aimed at students in electrical engineering, math, and physics departments. The authors' approach is to develop the subject of probability theory and stochastic processes as a deductive discipline and to illustrate the theory with basic applications of engineering interest. Approximately 1/3 of the text is new material--this material maintains the style and spirit of previous editions. In order to bridge the gap between concepts and applications, a number of additional examples have been added for further clarity, as well as several new topics.

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    Table of Contents:

    Part 1 Probability and Random Variables

    1 The Meaning of Probability

    2 The Axioms of Probability

    3 Repeated Trials

    4 The Concept of a Random Variable

    5 Functions of One Random Variable

    6 Two Random Variables

    7 Sequences of Random Variables

    8 Statistics

    Part 2 Stochastic Processes

    9 General Concepts

    10 Random Walk and Other Applications

    11 Spectral Representation

    12 Spectral Estimation

    13 Mean Square Estimation

    14 Entropy

    15 Markov Chains

    16 Markov Processes and Queueing Theory

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