A First Course in Probability,9780136033134

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A First Course in Probability

by Ross, Sheldon

Edition:

8th

ISBN13:

9780136033134

ISBN10:

013603313X

Format:

Hardcover

Pub. Date:

12/28/2008

Publisher(s):

Pearson

Other versions by this Author

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Customer Reviews

wonderful text book March 14, 2011
by Karen

I purchased this text book for a probability course. This text book has good examples, good coverage of the material, lots of problems, and a nice section of self-test problems that helps study for tests. It also has issues with the wording of the problems. Its exercises are fairly challenging, interesting, and there is a "self-test" section at the end of each chapter which provides fairly good explanations of how to carry out the problems.

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A First Course in Probability: 4 out of 5 stars based on 1 user reviews.

Summary

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.

Author Biography

Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences, the Advisory Editor for International Journal of Quality Technology and Quantitative Management, and an Editorial Board Member of the Journal of Bond Trading and Management. He is a Fellow of the Institute of Mathematical Statistics and a recipient of the Humboldt US Senior Scientist Award.

Combinatorial Analysis
Axioms of Probability
Conditional Probability and Independence
Random Variables
Continuous Random Variables
Jointly Distributed Random Variables
Properties of Expectation
Limit Theorems
Additional Topics in Probability
Simulation
Answers to Selected Problems
Solutions to Self-Test Problems and Exercises
Index
Table of Contents provided by Publisher. All Rights Reserved.

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