Probability, Random Variables and Stochastic Processes / Edition 4

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Overview


* Treats probability theory and stochastic processes as a deductive discipline and illustrates them with basic engineering applications

* Approximately 1/3 of the text is new with new material on: Parameter Estimation, Random Walks, Markov Chains, and Queuing Theory

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Product Details

  • ISBN-13: 9780073660110
  • Publisher: McGraw-Hill Higher Education
  • Publication date: 10/25/2001
  • Edition description: New Edition
  • Edition number: 4
  • Pages: 864
  • Sales rank: 652,860
  • Product dimensions: 7.50 (w) x 9.50 (h) x 1.46 (d)

Meet the Author

S. Unnikrishna Pillai is a Professor of Electrical and Computer Engineering at Polytechnic Institute of NYU in Brooklyn, New York. His research interests include radar signal processing, blind identification, spectrum estimation, data recovery and wavform diversity. Dr. Pillai is the author of Array Signal Processign and co-author of Spectrum Estimation and system Identification, Prof. Papoulis’ Probability, Random Variables and Stochastic processes (Fourth edition), and Space Based Radar – Theory & Applications.
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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 Moments and Conditional Distributions
8 Sequence of Random Variables
9 Statistics
Part 2 Stochastic Processes
10 General Concepts
11 Basic Applications
12 Spectral Representation
13 Spectral Estimation
14 Mean Square Estimation
15 Entropy
16 Selected Topics
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Sort by: Showing all of 2 Customer Reviews
  • Anonymous

    Posted July 21, 2003

    ck your website

    readers who bought this book also bought: where in the world did you get those titles? how about a free coupon for pointing out this mistake?

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  • Anonymous

    Posted December 29, 2010

    No text was provided for this review.

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