Items related to Probability, Random Variables and Stochastic Processes
Synopsis
The Third Edition emphasizes a concentrated revision of Parts II & III (leaving Part I virtually intact). The later sections show greater elaboration of the basic concepts of stochastic processes, typical sequences of random variables, and a greater emphasis on realistic methods of spectral estimation and analysis. There are problems, exercises, and applications throughout. Aimed at senior/graduate students in electrical engineering, math, and physics departments.
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Review
This text is a classic in probability, statistics, and estimation and in the application of these fields to modern engineering problems. Probability, Random Variables, and Stochastic Processes assumes a strong college mathematics background. The first half of the text develops the basic machinery of probability and statistics from first principles while the second half develops applications of the basic theory. Topics in the first section include probability distributions and densities, random variables and vectors, expectations, covariance, correlations, functions of random variables and vectors, and conditional distributions and densities. In this third edition of the text, the second half of the book has been substantially updated and expanded to include new or revised discussions of the following topics: mean square estimation, likelihood tests, maximum entropy methods, Monte Carlo techniques, spectral representations and estimation, sampling theory, bispectra and system identification, cyclostationary processes, deterministic signals in noise, and the Wiener and Kalman filters. Probability, Random Variables, and Stochastic Processes covers a remarkable density of material and the clarity of both presentation and notation make this book invaluable as a text and a reference.
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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- PublisherMcgraw-Hill College
- Publication date1991
- ISBN 10 0070484775
- ISBN 13 9780070484771
- BindingHardcover
- LanguageEnglish
- Edition number3
- Number of pages666
- Rating
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Probability, Random Variables and Stochastic Processes
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Mcgraw-Hill College (edition 3rd), 1991
ISBN 10: 0070484775
ISBN 13: 9780070484771
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Probability, Random Variables and Stochastic Processes
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Probability, Random Variables and Stochastic Processes
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Probability, Random Variables, and Stochastic Processes
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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
ISBN 10: 0070484775
ISBN 13: 9780070484771
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Probability, Random Variables and Stochastic Processes
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Probability, Random Variables, and Stochastic Processes (McGraw-Hill Series in Electrical Engineering)
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Probability Random Variables and Stochastic Processes
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ISBN 10: 0070484775
ISBN 13: 9780070484771
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Hard Cover. Condition: Good. No Jacket. Third Edition. From an academic library with the usual stamps and labels. Apart from the library evidence a decent copy. This is a heavy book and we will request extra shipping if ordered from outside the UK. A00018039. Seller Inventory # A00018039
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