Theory of Probability
6th Edition
Published on 8. October 2018
520 pages
978-1-351-40858-5 (ISBN)
Description
This book is the sixth edition of a classic text that was first published in 1950 in the former Soviet Union. The clear presentation of the subject and extensive applications supported with real data helped establish the book as a standard for the field. To date, it has been published into more that ten languages and has gone through five editions.
The sixth edition is a major revision over the fifth. It contains new material and results on the Local Limit Theorem, the Integral Law of Large Numbers, and Characteristic Functions. The new edition retains the feature of developing the subject from intuitive concepts and demonstrating techniques and theory through large numbers of examples. The author has, for the first time, included a brief history of probability and its development. Exercise problems and examples have been revised and new ones added.
The sixth edition is a major revision over the fifth. It contains new material and results on the Local Limit Theorem, the Integral Law of Large Numbers, and Characteristic Functions. The new edition retains the feature of developing the subject from intuitive concepts and demonstrating techniques and theory through large numbers of examples. The author has, for the first time, included a brief history of probability and its development. Exercise problems and examples have been revised and new ones added.
More details
Edition
6th edition
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Product notice
Reflowable
ISBN-13
978-1-351-40858-5 (9781351408585)
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Schweitzer Classification
Other editions
Additional editions
Boris V. Gnedenko
Theory of Probability
Book
06/2020
6th Edition
CRC Press
€75.30
Shipment within 15-20 days
Boris V. Gnedenko
Theory of Probability
Book
05/1998
6th Edition
Taylor & Francis
€188.10
Shipment within 15-20 days
Person
Boris V. Gnedenko
Content
1. Random Events and Their Probabilities 2. Sequences in Independent Trials 3. Markov Chains 4. Random Valuables and Distribution Functions 5. Numberical Characteristics of Random Variables 6. The Law of Large Numbers 7. Characteristic Functions 8. The Classical Limit Theorem 9. The Theory of Infinitely Divisible Distributions 10. The Theory of Stochastic Processes 11. The Elements of Statistics Appendix
