Introduction to Probability

Nonfiction, Science & Nature, Mathematics, Probability, Statistics
Cover of the book Introduction to Probability by David F. Anderson, Timo Seppäläinen, Benedek Valkó, Cambridge University Press
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Author: David F. Anderson, Timo Seppäläinen, Benedek Valkó ISBN: 9781108244985
Publisher: Cambridge University Press Publication: November 2, 2017
Imprint: Cambridge University Press Language: English
Author: David F. Anderson, Timo Seppäläinen, Benedek Valkó
ISBN: 9781108244985
Publisher: Cambridge University Press
Publication: November 2, 2017
Imprint: Cambridge University Press
Language: English

This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.

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This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.

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