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Synopsis
Designed for graduate-level courses, this text has defined the course of study in probability theory, highly regarded for its strong mathematical orientation and comprehensive coverage. The book classifies topics in probability, random variables, and stochastic processes very logically, carefully incorporating a wide range of illustrations and applications. This edition contains a substantial revision of Parts II & III with greater emphasis on realistic methods of spectral estimation and analysis, and many new problems, examples and applications.
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From the Publisher
Changes to the fourth edition include: substantial updating of chapters 3 and 4; a new section on Parameter Estimation in chapter 8; a new section on Random Walks in chapter 10; and two new chapters (15 and 16) at the end of the book on Markov Chains and Queuing Theory.
A number of examples have been added to support the key topics, and the design of the book has been updated to allow the reader to easily locate the examples and theorems.
About 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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Probability, Random Variables and Stochastic Processes with Errata Sheet (Int'l Ed)
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McGraw-Hill Europe (edition 4th), 1991
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Probability Random Variables and Stochastic Processes
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Probability, Random Variables, and Stochastic Processes
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