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4 von 4 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen Rigour, not ease.
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.
Veröffentlicht am 22. Juni 2000 von Park Hays

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2 von 3 Kunden fanden die folgende Rezension hilfreich
1.0 von 5 Sternen 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. The author commits the classic error of defining everything very precisely, without ever saying what any of it means. I have to agree with the previous reviewer (doubtless a frustrated student like myself) that this is...
Veröffentlicht am 21. September 1999 von Amazon Customer


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4 von 4 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen Rigour, not ease., 22. Juni 2000
Von 
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.
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1 von 1 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen great book in the classical textbook sense, 27. März 2000
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Julius Kusuma (Cambridge, MA, USA) - Alle meine Rezensionen ansehen
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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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1 von 1 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Great book for EE students!, 7. August 2003
Von Ein Kunde
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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1 von 1 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Foundation of random processes, 23. Oktober 1999
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 sense. Who likes formula handbooks won't like it.
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2 von 3 Kunden fanden die folgende Rezension hilfreich
1.0 von 5 Sternen A miserable text for an engineering class., 21. September 1999
Von 
This is appearantly the classic text on probablility and stochastic processes for engineering. Someone has got to be able to do better than this. The author commits the classic error of defining everything very precisely, without ever saying what any of it means. I have to agree with the previous reviewer (doubtless a frustrated student like myself) that this is probably a good reference book for those who already understand the subject. Unfortunately, the explanations are overly mathematical, the index is incomplete, and the script typeface used for special characters and symbols is often incomprehensible (an alphabet table would help). The examples and exercises fail to relate the material to practical applications. As an engineer, I'm not interested in proofs and mathematical rigor- I'm interested in the math as a tool and understanding what I can do with it, and how to go about doing it.
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5.0 von 5 Sternen Great for Learning, but better with some background, 6. Mai 2014
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This is probably one of the best books to dive deep into statistical methods on university level. Especially for engineers the chapters on stochastic processes and later on markov chain methods are quite valuable and go much further than what is usually covered in lectures. In some parts the mathmatics are not easy to follow, though, so a bit of background won't hurt. Along with a lecture on statistical signal processing, this book is a great help.
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3 von 5 Kunden fanden die folgende Rezension hilfreich
2.0 von 5 Sternen This is a reference book and it is not good for learning, 22. Mai 1999
Von Ein Kunde
In very short words this book is just a very long stream of random processes equations with some explanation in between. At the same time, the cross index at the end is not very complete, this makes looking for an answer difficult (try just to put together the most fundamental properties of a Gaussian Process if you doubt about this).
One good feature of this book (and maybe this is why it's so widely used) is that it covers a very extensive list of topics.
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1 von 2 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen The classical text for engineers, 2. März 1999
Von Ein Kunde
This is the classical text for understanding and applying stochastics processes. Papoulis gets to the formal point!
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0 von 1 Kunden fanden die folgende Rezension hilfreich
2.0 von 5 Sternen The exercises are difficult, 4. November 1998
Von Ein Kunde
The examples in the text are very simple but the exercises in the back of each chapter are very difficult. The simple examples are a poor reference for the much more complicated questions that lack solutions. This makes learning, by using this book, very difficult.
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1 von 3 Kunden fanden die folgende Rezension hilfreich
2.0 von 5 Sternen Classics are not always great., 22. März 2000
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 classic introductory textbook. Everyone in my class complained about it. I found particularly frustrating it's hiding of important theorems, identities, etc. in examples rather than in the main flow of the text.
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Probability, Random Variables, and Stochastic Processes
Probability, Random Variables, and Stochastic Processes von S. Unnikrishna Pillai (Taschenbuch - Oktober 2001)
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