An Introduction to Probability

This edition covers the standard materials to be expected in a course from a calculus-based course in probability. A new chapter is added to cover exchangeability, embedding, and Monte Carlo simulation. Contents: Preface to the First Edition Preface to the Second Edition Notations and Abbreviations Permutation and Combination Axioms of Probability Conditional Probability Random Variables Discrete Random Variables Continuous Random Variables Jointly Distributed Random Variables Dependence and More on Expectations Limit Theorems Exchangeability, Embedding, and Monte Carlo A Terse Introduction to Mathematica Answers to Odd-Numbered Problems Index Readership: Undergraduate students specialising in mathematics, engineering, computer science, actuarial science and business.