Probability Theory: A Concise Course and over one million other books are available for Amazon Kindle. Learn more

Vous voulez voir cette page en français ? Cliquez ici.


or
Sign in to turn on 1-Click ordering.
or
Amazon Prime Free Trial required. Sign up when you check out. Learn More
More Buying Choices
Have one to sell? Sell yours here
Start reading Probability Theory on your Kindle in under a minute.

Don't have a Kindle? Get your Kindle here, or download a FREE Kindle Reading App.

Probability Theory: A Concise Course [Paperback]

Y. A. Rozanov
4.3 out of 5 stars  See all reviews (3 customer reviews)
List Price: CDN$ 13.50
Price: CDN$ 12.15 & FREE Shipping on orders over CDN$ 25. Details
You Save: CDN$ 1.35 (10%)
o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o
Only 2 left in stock (more on the way).
Ships from and sold by Amazon.ca. Gift-wrap available.
Want it delivered Monday, April 21? Choose One-Day Shipping at checkout.

Formats

Amazon Price New from Used from
Kindle Edition CDN $7.99  
Paperback CDN $12.15  

Book Description

June 1 1977 0486635449 978-0486635446 New edition
This clear exposition begins with basic concepts and moves on to combination of events, dependent events and random variables, Bernoulli trials and the De Moivre-Laplace theorem, a detailed treatment of Markov chains, continuous Markov processes, and more. Includes 150 problems, many with answers. Indispensable to mathematicians and natural scientists alike.

Customers Who Bought This Item Also Bought


Product Details


Inside This Book (Learn More)
Browse Sample Pages
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Search inside this book:

Customer Reviews

4 star
0
2 star
0
1 star
0
4.3 out of 5 stars
4.3 out of 5 stars
Most helpful customer reviews
Format:Paperback
It is amazing that a 148 page book can cover so much with such clarity. Even more amazing is the way it covers all basics, going from combinatorial problems to limit theorems in the first half, with a measure of relevant examples and a good selection of problems. It makes an equally excellent choice of "additional topics": Markov chains and processes, information theory, game theory, branching processes, and optimal control.
This book is not for everyone, as it does require a small degree of mathematical sophistication. But it will prove most useful for a very large audience. For serious beginning mathematics and science students it will provide the quickest way to learn the subject. For lecturers devising an introductory probability course it will make an excellent textbook. And, most importantly, for mathematicians and scientists of all kinds it will serve as an indispensable concise reference book.
Was this review helpful to you?
5.0 out of 5 stars Excellent Pocket Reference Aug. 21 2002
Format:Paperback
This is not meant as an introductory text--rather, it's a very handy reference for major concepts needed in probability and stochastic calculus. It was one of the few places where I could find a proof of the DeMoivre-Laplace theorem.
The examples are also very good--they touch upon basic problems in the field without being overly trivial.
Was this review helpful to you?
3.0 out of 5 stars not a good first book on probability June 12 2000
Format:Paperback
The problem with this book is that there is no way you can understand the later chapters based on the earlier chapters. This is a more like the survey of the important topics in probability and stochastic processes. There are appendices on information theory, game theory, and branching processes. The book includes basic concepts of probability, random variables, and Markov chains. Feller has a better introductory book on probability.
Was this review helpful to you?
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 4.5 out of 5 stars  13 reviews
39 of 39 people found the following review helpful
5.0 out of 5 stars The best introductory probablity book for a serious reader Aug. 22 2003
By Dr. Hoenikker - Published on Amazon.com
Format:Paperback
It is amazing that a 148 page book can cover so much with such clarity. Even more amazing is the way it covers all basics, going from combinatorial problems to limit theorems in the first half, with a measure of relevant examples and a good selection of problems. It makes an equally excellent choice of "additional topics": Markov chains and processes, information theory, game theory, branching processes, and optimal control.
This book is not for everyone, as it does require a small degree of mathematical sophistication. But it will prove most useful for a very large audience. For serious beginning mathematics and science students it will provide the quickest way to learn the subject. For lecturers devising an introductory probability course it will make an excellent textbook. And, most importantly, for mathematicians and scientists of all kinds it will serve as an indispensable concise reference book.
20 of 22 people found the following review helpful
5.0 out of 5 stars Excellent Pocket Reference Aug. 21 2002
By Norman Kabir - Published on Amazon.com
Format:Paperback
This is not meant as an introductory text--rather, it's a very handy reference for major concepts needed in probability and stochastic calculus. It was one of the few places where I could find a proof of the DeMoivre-Laplace theorem.
The examples are also very good--they touch upon basic problems in the field without being overly trivial.
11 of 12 people found the following review helpful
5.0 out of 5 stars fundamentals of probability Aug. 21 2008
By Palle E T Jorgensen - Published on Amazon.com
Format:Paperback
There are quite a number of books offering a quick introduction to the fundamentals of probability. And there is a demand, as these tools have many practical uses: Testing data, sampling, insurance topics, quality checking, finance, investment, and finance, to mention only a few. Rozanov's book, of just a little over 100 pages, helps the novice turning practical problems into numbers. What it does well is letting the beginning student acquire a sense of what the rules are, events, combination of events using the mathematical notions of union and intersection; show how they yield computations with probability, distributions; dependence and independence, repeated experiments; and use of conditional probability. It concludes with limit theorems, Markov chains and Markov processes.
There are other nice books that go beyond Rozanov; for example Heathcote's PROBABILITY, also in the Dover series.
Review by Palle Jorgensen, August 2008.
6 of 6 people found the following review helpful
5.0 out of 5 stars nice, inexpensive and very informative Oct. 26 2005
By Gilles Benson - Published on Amazon.com
Format:Paperback
This a really nice book to begin probability with; then it opens up to deeper parts of the theory, especially branching process and Markov chains within its very thin format; it obviously cannot compete with Feller's monumental work which is a natural follow-up to this one but you can't tackle with Feller from scratch either...So, have look at this one and then try Feller (and avoid getting lost in it...)
4 of 4 people found the following review helpful
5.0 out of 5 stars astonishing!! May 30 2009
By R. Kocer - Published on Amazon.com
Format:Paperback
It is really unbelievable that so much about probability theory could be placed in such a small book in such a clear and inspiring manner. I think this book should be in the library of anyone who is interested in the probability theory and mathematical statistics. Have it!!! you will really enjoy reading.
Search Customer Reviews
Only search this product's reviews
ARRAY(0xa5c5df84)

Look for similar items by category


Feedback