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Introduction to Probability [Hardcover]

Charles M. Grinstead (Author), J. Laurie Snell (Author)
4.8 out of 5 stars  See all reviews (5 customer reviews)

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Book Description

0821807498 978-0821807491 July 1, 1997 2 Revised
text is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science. It presents a thorough treatment of ideas and techniques necessary for a firm understanding of the subject. The text is also recommended for use in discrete probability courses. The material is organized so that the discrete and continuous probability discussions are presented in a separate, but parallel, manner. This organization does not emphasize an overly rigorous or formal view of probabililty and therefore offers some strong pedagogical value. Hence, the discrete discussions can sometimes serve to motivate the more abstract continuous probability discussions. Features: Key ideas are developed in a somewhat leisurely style, providing a variety of interesting applications to probability and showing some nonintuitive ideas. Over 600 exercises provide the opportunity for practicing skills and developing a sound understanding of ideas. Numerous historical comments deal with the development of discrete probability. The text includes many computer programs that illustrate the algorithms or the methods of computation for important problems.

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Editorial Reviews

Review

"The book is a beautiful introduction to probability theory at the beginning level. The book contains a lot of examples and an easy development of theory without any sacrifice of rigor, keeping the abstraction to a minimal level. It is indeed a valuable addition to the study of probability theory." ---- Zentralblatt MATH

Product Details

  • Hardcover: 510 pages
  • Publisher: American Mathematical Society; 2 Revised edition (July 1, 1997)
  • Language: English
  • ISBN-10: 0821807498
  • ISBN-13: 978-0821807491
  • Product Dimensions: 10.1 x 7.1 x 1.2 inches
  • Shipping Weight: 2.4 pounds (View shipping rates and policies)
  • Average Customer Review: 4.8 out of 5 stars  See all reviews (5 customer reviews)
  • Amazon Best Sellers Rank: #137,824 in Books (See Top 100 in Books)

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15 of 15 people found the following review helpful:
5.0 out of 5 stars Brilliant book on probability theory, February 7, 2008
This review is from: Introduction to Probability (Hardcover)
This is a wonderful book on probability theory.
I first used it at Dartmouth in an intro course 12 years ago, and I still find it illuminating.

The level is at once highly rigorous and extremely readable & engaging. I believe anyone can read this book (a smattering of first-year calculus would help to understand the sections on continuous probability distributions).

The paradoxes in Chp 4 are memorable, as is the medical question on false positives / false negatives, which most med students failed.

With a chapter on random walks, this is also the perfect introduction for anyone in physics / finance seeking to study stochastic calculus.

Truly, there's nothing that is
(a) more clearly written
(b) more enjoyable to read (if you like math)
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31 of 38 people found the following review helpful:
5.0 out of 5 stars Available under the GNU General Public License, March 25, 2005
This review is from: Introduction to Probability (Hardcover)
This book is freely available under the GNU General Public License, in PDF format. The GPL allows free usage to anyone, and free modification and redistribution with the restriction that your changes have to remain free under the same license. This is the same license Linux and much open source software is released under.

Try a web search for the authors/title. For a course, you might want to purchase the physical copy anyway.

I am starting on the book now, so ignore my rating of the book itself - I had to include a rating to post.
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16 of 19 people found the following review helpful:
5.0 out of 5 stars Finally a readable math book!, December 12, 1999
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This review is from: Introduction to Probability (Hardcover)
A good variety of problems, easy, medium, and hard. I was able to read through the chapters and understand the mathematics. The computer programs truly complement the sections.
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Inside This Book (learn more)
First Sentence:
In this chapter, we shall first consider chance experiments with a finite number of possible outcomes 1, 2, ..., n. Read the first page
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Monte Carlo, Las Vegas, John Wiley, Mathematics Magazine, Monty Hall, United States, Academic Press, Ars Conjectandi, Ask Marilyn, Cambridge University Press, Consider the Markov, Examples Example, Second World War, Los Angeles, Main Street, Parade Magazine, Scientific American
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