INTRO TO PROBABILITY (2ND ED‪)‬

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 EditionPreface to the Second EditionNotations and AbbreviationsPermutation and CombinationAxioms of ProbabilityConditional ProbabilityRandom VariablesDiscrete Random VariablesContinuous Random VariablesJointly Distributed Random VariablesDependence and More on ExpectationsLimit TheoremsExchangeability, Embedding, and Monte CarloA Terse Introduction to MathematicaAnswers to Odd-Numbered ProblemsIndex
Readership: Undergraduate students specialising in mathematics, engineering, computer science, actuarial science and business.

Edward P C Kao is a Professor of Mathematics at the University of Houston. He received his PhD from Stanford and did his post-doctoral work at Yale. He was a Visiting Scientist at the Operations Research Center at MIT during 9/97–5/98.Professor Kao served as an Associate Editor of Operation Research, 1/83–12/87; Associate Editor of Inform Journal on Computing, 1/927/96, and the Area Editor in Computational Probability and Analysis of Inform Journal on Computing, 8/96–1/07.Professor Kao is the author of An Introduction of Stochastic Processes, Duxbury,1997; China Machine Press, 2002, and Dover 2019. He served as consulting statistician for various companies and legal institutions.