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.
Presented in full color and written in an accessible way, the text provides a comprehensive and well-balanced introduction to probability.
Pedagogical features include numerous examples to illustrate concepts and theory, over 600 exercises of varying levels, and separate 'Finer Points' sections for technical details.
Instructor's manual available online with detailed solutions to selected problems and further guidance for using the book in a course.
Copyright:
2018
Book Details
Book Quality:
Publisher Quality
ISBN-13:
9781108244985
Publisher:
Cambridge University Press
Date of Addition:
12/01/17
Copyrighted By:
David F. Anderson, Timo Seppäläinen, Benedek Valkó
