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Produktbeschreibungen
Amazon.com
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.
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Kurzbeschreibung
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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Einleitungssatz
The theory of probability deals with averages of mass phenomena occurring sequentially or simultaneously: electron emission, telephone calls, radar detection, quality control, system failure, games of chance, statistical mechanics, turbulence, noise, birth and death rates, and queueing theory, among many others. Lesen Sie die erste Seite
Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis | Rückseite
The theory of probability deals with averages of mass phenomena occurring sequentially or simultaneously: electron emission, telephone calls, radar detection, quality control, system failure, games of chance, statistical mechanics, turbulence, noise, birth and death rates, and queueing theory, among many others. Lesen Sie die erste Seite
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Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis | Rückseite
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3 von 3 Kunden fanden die folgende Rezension hilfreich
Format:Gebundene Ausgabe
This book is probably not the best book for a beginner (and I've used Haykin and Peebles before). However, it treats probability with a scientific rigour, and follows logical proofs that any of us could do. I think a person could learn from it, but expect it to serve as a 2nd level text or a reference.
1 von 1 Kunden fanden die folgende Rezension hilfreich
Format:Gebundene Ausgabe
I used this book for my PhD studies in communication networks. It gives many examples and explains basic principles. The chapters on "functions of random variables" and "combinations of random variables" are especially useful! If you want to get an introduction to stochastic processes, however, buy different book.
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Format:Gebundene Ausgabe
i would like to again point out that while this book is excellent as a reference, it's not very good to read cover-to-cover. Papoulis is extremely knowledgeable in this area, and this book is, in fact, the FIRST EVER book of stochastic/random variables and processes written for the engineers. unfortunately, despite the excellent material, the presentation and coverage is sometimes hard to follow, and hides the true gem in this book.
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Save your money
Get another book, Stark and Woods is quite good, not an excellent introduction but still much better. Lesen Sie weiter...
Am 7. Mai 2000 veröffentlicht
Classics are not always great.
I've been told by many professors that this is *the* classic text on the topic. You might think this would make it *the* book to read on the topic, but it is definately *not* a... Lesen Sie weiter...
Veröffentlicht am 22. März 2000 von Pete
Foundation of random processes
It's the best book I've read about Random variable mathematics. It's not very easy to get the concepts for the first time, but after some detailed readings you figure how all make... Lesen Sie weiter...
Veröffentlicht am 23. Oktober 1999 von Marcus
A miserable text for an engineering class.
This is appearantly the classic text on probablility and stochastic processes for engineering. Someone has got to be able to do better than this. Lesen Sie weiter...
Veröffentlicht am 21. September 1999 von Engineer Mike
This is a reference book and it is not good for learning
In very short words this book is just a very long stream of random processes equations with some explanation in between. Lesen Sie weiter...
Am 22. Mai 1999 veröffentlicht
The classical text for engineers
This is the classical text for understanding and applying stochastics processes. Papoulis gets to the formal point!
Am 2. März 1999 veröffentlicht
The exercises are difficult
The examples in the text are very simple but the exercises in the back of each chapter are very difficult. Lesen Sie weiter...
Am 4. November 1998 veröffentlicht
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