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Probability Theory: An Introductory Course (Biomathematics)

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Synopses & Reviews

Publisher Comments:

Sinai's book leads the student through the standard material for ProbabilityTheory, with stops along the way for interesting topics such as statistical mechanics, not usually included in a book for beginners. The first part of the book covers discrete random variables, using the same approach, basedon Kolmogorov's axioms for probability, used later for the general case. The text is divided into sixteen lectures, each covering a major topic. The introductory notions and classical results are included, of course: random variables, the central limit theorem, the law of large numbers, conditional probability, random walks, etc. Sinai's style is accessible and clear, with interesting examples to accompany new ideas. Besides statistical mechanics, other interesting, less common topics found in the book are: percolation, the concept of stability in the central limit theorem and the study of probability of large deviations. Little more than a standard undergraduate course in analysis is assumed of the reader. Notions from measure theory and Lebesgue integration are introduced in the second half of the text. The book is suitable for second or third year students in mathematics, physics or other natural sciences. It could also be usedby more advanced readers who want to learn the mathematics of probability theory and some of its applications in statistical physics.

Product Details

ISBN:
9783540533481
Author:
Sinai, Iakov Grigor'evich
Publisher:
Springer
Translator:
Haughton, D.
Author:
Sinai, Yakov G.
Author:
Haughton, D.
Author:
Sinai, Iakov Grigorevich
Subject:
Probability
Subject:
Probability Theory.
Subject:
Wahrscheinlichkeitstheorie
Subject:
Probabilities
Subject:
Probability & Statistics - General
Subject:
Mathematics | Probability and Statistics
Copyright:
Edition Number:
1
Series:
Biomathematics
Publication Date:
October 1992
Binding:
TRADE PAPER
Language:
English
Pages:
140
Dimensions:
9.00x6.00x.40 in. .50 lbs.

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Related Subjects

Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

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