Library of Math
Online Math Organized by Subject Into Topics
Subscribe to the Library of Math Feed

Introduction to Probability

Introduction to Probability

enlarge enlarge 
Author: Dimitri P. Bertsekas
Publisher: Athena Scientific
Category: Book

List Price: $79.00
Buy New: $65.00
You Save: $14.00 (18%)



New (5) Used (10) from $48.51

Rating: 4.5 out of 5 stars 14 reviews
Sales Rank: 233565

Media: Hardcover
Pages: 430
Shipping Weight (lbs): 2.3
Dimensions (in): 9.3 x 7.3 x 1.4

ISBN: 188652940X
Dewey Decimal Number: 519
EAN: 9781886529403

Publication Date: June 24, 2002
Availability: Usually ships in 1-2 business days

Similar Items:

  • Fifty Challenging Problems in Probability with Solutions
  • Schaum's Outline of Probability, Random Variables, and Random Processes
  • First Course in Probability, A (7th Edition)
  • Ordinary Differential Equations
  • Artificial Intelligence: A Modern Approach (2nd Edition) (Prentice Hall Series in Artificial Intelligence)

Editorial Reviews:

Product Description
An intuitive, yet precise introduction to probability theory, stochastic processes, and probabilistic models used in science, engineering, economics, and related fields. This is the currently used textbook for "Probabilistic Systems Analysis," an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject. It also contains, a number of more advanced topics, from which an instructor can choose to match the goals of a particular course. These topics include transforms, sums of random variables, least squares estimation, the bivariate normal distribution, and a fairly detailed introduction to Bernoulli, Poisson, and Markov processes. The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis has been just intuitively explained in the text, but is developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems. The book has been widely adopted for classroom use in introductory probability courses within the USA and abroad.


Customer Reviews:   Read 9 more reviews...

5 out of 5 stars great book!   December 12, 2003
Stephen D. Patek (Charlottesville, VA United States)
48 out of 49 found this review helpful

Written by two prolific MIT professors, "Introduction to Probability" presents a clean and insightful introduction to probability and stochastic processes. The book is intended for advanced undergraduate and/or beginning graduate students. While many introductory probability texts are dominated by superficial case studies (which in my opinion convey a false sense of confidence about the subject), "Introduction to Probability" promotes deep understanding through clear mathematical writing and thought-provoking examples.

Testimonial: I recently adopted "Introduction to Probability" as the text for a first-year, masters of engineering course on stochastic systems, and it was a great experience. In working with the book, I found that the authors' thoughtful approach really helps to solidify the students' understanding of basic concepts. For example, the text's approach to conditional probability, particularly with its emphasis on sample-space, is so clear that several students (even the TA) came to me afterward saying that, prior to reading the book, they never had a clear understanding of what the formulas actually mean. From an instructor's perspective, "Introduction to Probability" is easy to use. It is accessible to students with diverse backgrounds, and it is also well-balanced, with lots of intuitive/motivating discussion in the main body of each chapter and advanced concepts in extended end-of-the chapter problems. The authors support the text by making available a large amount of supplementary material on the web, including supplementary exercises (suitable for homework or exams) and lecture notes from their introductory probability course at MIT. I highly recommend "Introduction to Probability" to anyone preparing to teach an introductory course on stochastic systems, probability, and stochastic processes.


5 out of 5 stars The odds are you'll love this book   November 16, 2003
24 out of 24 found this review helpful

Probabilities are a powerful way of understanding the world and doing science. Trouble is, understanding probabilities is not easy: it takes math, insight, and a fresh way of thinking. Worse, the stuff is so useful in so many contexts that its expositions are often obscured by the intended applications.

I recently found myself looking at several probability books to give a recommendation to a friend. This book (by two well-known MIT professors of Electrical Engineering) is a wonderful treatment in terms of its style (simple informal explanations, motivating discussions, frequent notes of a historical/philosophical nature); its selection of topics (the basics, mainly, usually from the most useful perspective); its rigor and accuracy; its reasonable brevity; its rather conventional point of view (contrast it, for example, with the very interesting recent book by E. Jaynes); and its humor.


5 out of 5 stars Great Intro to Probability   March 17, 2006
J. Hova (Boulder, CO USA)
25 out of 25 found this review helpful

I am a university student taking a probability course and found this book to be invaluable.

The book actually assigned to our class was Sheldon Ross' A First Course in Probability. I found Ross' book unreadable so I began looking for another text in order to help myself pass the class.

After reading numerous reviews I decided on an Introduction to Probability. The book is well written and easy to understand. The main points are highlighted and made extremely obvious. In addition they are backed by step by step easy to understand examples. Another feature I found very helpful was the use of graphical examples to reinforce the points being made.

In short I would recommend this book highly to anyone looking for an introduction to probability.

Update: I finished my probability course in May with an A. I completely stopped using Ross' book around the time of this review. This book was by far the most useful tool I had. I strongly back my original recommendation. I will be graduating this fall, and this book has turned out to be one of the best mathematic books I have encountered thus far.

I say this for the following reasons. First, the layout of the book, and the order it presented material is very intuitive and helpful. Second is how well the book reads. My experience with quite a few mathematics books has been the following. The math books are written by mathematicians. While being a mathematician may qualify you to teach a subject, it does not generally translate into an ability to put your ideas into written form. The result is a book that is not read by the students, but instead only consulted when all other methods of information retrieval fail. Introduction to Probability does not share this fate. The writing style of the book is very straight forward and easy to understand. While this may sound redundant, I personally think this is one of the best reasons to buy this book.



5 out of 5 stars Easy to understand   January 6, 2006
Dharmesh Mahay
10 out of 11 found this review helpful

I remember referring this book for my Undergraduate class in probability and it explained difficult concepts in the most simplest way by using good visuals (diagrams, graphs etc). Therefore, it's a very good book for anyone starting out new since probability concepts can be hard to grasp initially. Highly recommend for students interested in stochastic processes and probability.


5 out of 5 stars Excellent guide   March 9, 2006
Durga P. Pandey (Boston, MA USA)
9 out of 10 found this review helpful

This is an excellent introductory guide to anyone interested in probability. The book is written with a general audience, but there are some examples that are specific to information and communication theory. I'm especially fond of the challenging problems at the end of the book. The language is lucid, and the concepts are explained in a very clear and logical fashion.

 
about us contact us privacy policy terms of use mision statement lom help
The Library of Math - Online Math Organized by Subject Into Topics. © 2005 - 2008 www.LibraryOfMath.com All rights reserved.