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Understanding Probability

2012/06/14 by Henk Tijms · 2 citations
Mathematics · #Statistics Education and Methodologies

paper · doi:10.1017/cbo9781139206990

openalex publication_date 2012/06/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Abstract

Understanding Probability is a unique and stimulating approach to a first course in probability. The first part of the book demystifies probability and uses many wonderful probability applications from everyday life to help the reader develop a feel for probabilities. The second part, covering a wide range of topics, teaches clearly and simply the basics of probability. This fully revised third edition has been packed with even more exercises and examples and it includes new sections on Bayesian inference, Markov chain Monte-Carlo simulation, hitting probabilities in random walks and Brownian motion, and a new chapter on continuous-time Markov chains with applications. Here you will find all the material taught in an introductory probability course. The first part of the book, with its easy-going style, can be read by anybody with a reasonable background in high school mathematics. The second part of the book requires a basic course in calculus.

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