First all, everyone wishing to learn probability comes from different background, math level, and motivation. There is no book that suits all. Recently I needed to know something about moment generating functions. With all my advanced engineering background though, I find it difficult to get into probability.So I bought the following supposedly introductory texts: Ross, DeGroot, Stirzaker, Bersekas &amp; Tsitsiklis. To me, Ross seems like a review lesson to cram for finals; it's choke full of examples but fairly spare in exposition. DeGroot is the opposite, long on descriptions but short on examples; by the time it finishes describing the problem, you have forgotten how to solve it. Probability is set up more as a prelude to statistics in the second half of the book. Stirzaker calls his book "elementary" the way Sherlock Holmes dismissed a case after slogging all night through the English bogs. It is more for the well-drilled boys from elite British "public" (private actually) schools. Bersekas comes closest to what I look for in a text, straightforward in prose with a judicious selection of examples to explain theory.For beginners, the best approach I found, in the end, was to go the local community college and buy the text used for Finite Math. Usually, there are 3 to 4 chapters that introduce probability.Such a text is aimed an audience from wider academic and language backgrounds, as community colleges are mandated to do.

A First Course in Probability

Science & Math

Ross, Sheldon

Mathematics

Macmillan

This book presents the basic theory and examines the scope of applications of stochastic dynamic programming.  The mathematical prerequisites for this text are relatively few.  No prior knowledge of dynamic programming is assumed and only a moderate familiarity with probability, including the use of conditional expectation, is necessary.

Introduction to Stochastic Dynamic Programming (PROBABILITY AND MATHEMATICAL STATISTICS)

Computers & Technology

Programming

Academic Pr

This market-leading introduction to probability features exceptionally clear explanations of the mathematics of probability theory and explores its many diverse applications through numerous interesting and motivational examples. The outstanding problem sets are a hallmark feature of this book. Provides clear, complete explanations to fully explain mathematical concepts. Features subsections on the probabilistic method and the maximum-minimums identity. Includes many new examples relating to DNA matching, utility, finance, and applications of the probabilistic method. Features an intuitive treatment of probability—intuitive explanations follow many examples. The Probability Models Disk included with each copy of the book, contains six probability models that are referenced in the book and allow readers to quickly and easily perform calculations and simulations.

A First Course in Probability (6th Edition)

PRENTICE/HALL

First Course in Probability, A

For upper-level to graduate courses in Probability or Probability and Statistics, for majors in mathematics, statistics, engineering, and the sciences. Explores both the mathematics and the many potential applications of probability theory A First Course in Probability is an elementary introduction to the theory of probability for students in mathematics, statistics, engineering, and the sciences. Through clear and intuitive explanations, it presents not only the mathematics of probability theory, but also the many diverse possible applications of this subject through numerous examples. The 10th Edition includes many new and updated problems, exercises, and text material chosen both for interest level and for use in building student intuition about probability. 0134753119 / 9780134753119 A First Course in Probability, 10/e

Pearson

NOTE: This loose-leaf, three-hole punched version of the textbook gives students the flexibility to take only what they need to class and add their own notes – all at an affordable price. For upper-level to graduate courses in Probability or Probability and Statistics, for majors in mathematics, statistics, engineering, and the sciences. Explores both the mathematics and the many potential applications of probability theory A First Course in Probability is an elementary introduction to the theory of probability for students in mathematics, statistics, engineering, and the sciences. Through clear and intuitive explanations, it presents not only the mathematics of probability theory, but also the many diverse possible applications of this subject through numerous examples. The 10th Edition includes many new and updated problems, exercises, and text material chosen both for interest level and for use in building student intuition about probability. 0134753755 / 9780134753751 A First Course in Probability, Books a la Carte Edition (Loose-Leaf Version), 10/e

A First Course in Probability, Eighth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.

A First Course in Probability (8th Edition)

Pearson\Prentice Hall

A First Course in Probability, Eighth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.

Pearson College Div

A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.

This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States. 
For upper-level to graduate courses in Probability or Probability and Statistics, for majors in mathematics, statistics, engineering, and the sciences.
Explores both the mathematics and the many potential applications of probability theory 
A First Course in Probability offers an elementary introduction to the theory of probability for students in mathematics, statistics, engineering, and the sciences. Through clear and intuitive explanations, it attempts to present not only the mathematics of probability theory, but also the many diverse possible applications of this subject through numerous examples. The 10th Edition includes many new and updated problems, exercises, and text material chosen both for inherent interest and for use in building student intuition about probability.

A First Course in Probability, Global Edition

See the best price to sell, buy, or rent books by Ross, Sheldon. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Ross, Sheldon

See the best price to sell, buy, or rent books by Ross, Sheldon. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

A First Course in Probability

Introduction to Stochastic Dynamic Programming (PROBABILITY AND MATHEMATICAL STATISTICS)

A First Course in Probability (6th Edition)

First Course in Probability, A

First Course in Probability, A

A First Course in Probability (8th Edition)

A First Course in Probability

First Course in Probability, A

A First Course in Probability, Global Edition