- Hardcover: 852 pages
- Publisher: McGraw-Hill Higher Education; 4 edition (1 Jan 2002)
- Language English
- ISBN-10: 0072817259
- ISBN-13: 978-0072817256
- Product Dimensions: 24.1 x 18.5 x 3.6 cm
- Average Customer Review: 3.3 out of 5 stars See all reviews (6 customer reviews)
- Amazon Bestsellers Rank: 4,372,566 in Books (See Top 100 in Books)
- See Complete Table of Contents
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More About the Author
Product Description
Product Description
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.
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. --This text refers to an out of print or unavailable edition of this title.
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. --This text refers to an out of print or unavailable edition of this title.
Inside This Book
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First Sentence
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. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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. Read the first page
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Concordance
Browse Sample PagesConcordance
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Customer Reviews
Most Helpful Customer Reviews
2 of 2 people found the following review helpful
Format:Paperback
I decided to write a review after reading the other reviews and getting a sense that they are being rather unfair. The poor rating reviews appear to be based on the reviewers' dislike for the book's style and not so much on content.
Studying quantitative finance at a postgraduate level, there is a lot that is assumed. Thus I have been looking for quite some time for a good book that ties probability theory to calculus in a step by step way that enables me to understand it from first principles. This is the first book I have seen after a long search that really makes no assumptions and covers the topics really well.
Combining this book with the Schaum series book "Probability, Random Variables, and Random Processes" has really helped me understand the material very well.
Studying quantitative finance at a postgraduate level, there is a lot that is assumed. Thus I have been looking for quite some time for a good book that ties probability theory to calculus in a step by step way that enables me to understand it from first principles. This is the first book I have seen after a long search that really makes no assumptions and covers the topics really well.
Combining this book with the Schaum series book "Probability, Random Variables, and Random Processes" has really helped me understand the material very well.
Format:Hardcover
I have a well thumbed copy of the second edition of this book. It is very dense in the sense of lots of information per square inch. Most of what is essential to know in this field is in the book. Yes it's true it does require a certain degree of mathematical maturity, but I'm sure many who use it come to love it.
3 of 5 people found the following review helpful
Format:Hardcover
This is the classical text for understanding and applying stochastics processes. Papoulis gets to the formal point!
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Most Recent Customer Reviews
I hate this book
This book was recommended reading for a post graduate electronic engineering course that I studied. What can I say? Its an ugly book - I hate the fonts and the layout. Read more
Published on 9 May 2003 by Robert Atkinson
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. Read more
Published on 22 May 1999
The exercises are difficult
The examples in the text are very simple but the exercises in the back of each chapter are very difficult. Read more
Published on 4 Nov 1998
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