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Probability Theory: A Concise Course Paperback – Jun 1 1977


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Product Details

  • Paperback: 160 pages
  • Publisher: Dover Publications; New edition edition (June 1 1977)
  • Language: English
  • ISBN-10: 0486635449
  • ISBN-13: 978-0486635446
  • Product Dimensions: 20.8 x 14.4 x 0.8 cm
  • Shipping Weight: 159 g
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Bestsellers Rank: #44,099 in Books (See Top 100 in Books)
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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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.
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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.
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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.
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: 15 reviews
40 of 40 people found the following review helpful
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.
21 of 23 people found the following review helpful
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.
6 of 6 people found the following review helpful
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...)
11 of 14 people found the following review helpful
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.
25 of 34 people found the following review helpful
not a good first book on probability June 12 2000
By UNPINGCO - Published on Amazon.com
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.

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