Probability, Random Variables and Stochastic Processes – Papoulis – 4th Edition

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 is intended for a senior/graduate level course in probability and is aimed at students in electrical engineering, math, and departments. The authors’ approach is to develop the subject of probability theory and stochastic as a deductive discipline and to illustrate the theory with basic 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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  • PART I PROBABILITY AND RANDOM VARIABLES 1
    Chapter 1 The Meaning of Probability
    Chapter 2 The Axioms of Probability
    Chapter 3 Repeated Trials
    Chapter 4 The Concept of a Random Variable
    Chapter 5 Functions of One Random Variable
    Chapter 6 Two Random Variables
    Chapter 7 Sequences of Random Variables
    Chapter 8 Statistics
    PART II STOCHASTIC PROCESSES
    Chapter 10 Random Walks and Other Applications
    Chapter 11 Spectral Representation
    Chapter 12 Spectrum Estimation
    Chapter 13 Mean Square Estimation
    Chapter 14 Entropy
    Chapter 15 Markov Chains
    Chapter 16 Markov Processes and Queueing Theory
    Bibliography
    Index
  • Citation

Download now Probability Random Variables and Stochastic Processes

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English
437 pag.
55 mb
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186 pag.
7 mb

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