Probability: Featured Book! 
Introduction to Probability, 2nd Edition

By Dimitri P. Bertsekas, John N. Tsitsiklis

An intuitive, yet precise introduction to probability theory, stochastic processes, and probabilistic models used in science, engineering, economics, and related fields. The 2nd edition is a substantial revision of the 1st edition, involving a reorganization of old material and the addition of new material. The length of the book has increased by about 25 percent. The main new feature of the 2nd edition is thorough introduction to Bayesian and classical statistics. The book is the currently used textbook for "Probabilistic Systems Analysis," an introductory probability course at the MIT.
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 More Excellent Books on Probability 
Fifty Challenging Problems in Probability with Solutions (Dover Books on Mathematics)
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Fifty challenging probability problems. Remarkable selection of puzzlers, graded in difficulty, that illustrate both elementary and advanced aspects of probability. Selected for originality, general interest, or because they demonstrate valuable techniques, the problems are ideal as a supplement to courses in probability or statistics, or as stimulating recreation for the mathematically minded. Each problem is illustrated with a detailed solution. If you have a soft spot for problems in probability, this book is an inexpensive must. > Buy Now

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Introduction to Probability
Dimitri P. Bertsekas, John N. Tsitsiklis

Probability theory and models. This is an introductory probability text for college students. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems). It also covers a number of more advanced topics - transforms, sums of random variables, least squares estimation, the bivariate normal distribution, and a fairly detailed introduction to Bernoulli, Poisson, and Markov processes. > Buy Now

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Probability: An Introduction
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Excellent basic text covers set theory, probability theory for finite sample spaces, binomial theorem, probability distributions, means, standard deviations, probability function of binomial distribution, and other key concepts and methods essential to a thorough understanding of probability. Designed for use by math or statistics departments offering a first course in probability. 360 illustrative problems with answers for half. Only high school algebra needed. > Buy Now

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Schaum's Outline of Probability, Random Variables, and Random Processes
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