Introduction to Probability

by Grinstead, Charles M.; Snell, J. Laurie

• ISBN13: 9780821807491
• ISBN10: 0821807498
• Edition: 2nd
• Format: Hardcover
• Copyright: 1997-07-01
• Publisher: Amer Mathematical Society

Summary

This text is designed for an introductory probability course at the university level for undergraduates in mathematics, the physical and social sciences, engineering, and computer science. It presents a thorough treatment of probability ideas and techniques necessary for a firm understanding of the subject. The text is also recommended for use in discrete probability courses. The material is organized so that the discrete and continuous probability discussions are presented in a separate, but parallel, manner. This organization does not over emphasize an overly rigorous or formal view of probability and therefore offers some strong pedagogical value. Hence, the discrete discussions can sometimes serve to motivate the more abstract continuous probability discussions.

Table of Contents

Reprint of entire volume Discrete probability distributions (Chapter 1)

Continuous probability densities (Chapter 2)

Combinatorics (Chapter 3)

Conditional probability (Chapter 4)

Important distributions and densities (Chapter 5)

Expected value and variance (Chapter 6)

Sums of independent random variables (Chapter 7)

Law of large numbers (Chapter 8)

Central limit theorem (Chapter 9)

Generating functions (Chapter 10)

Markov chains (Chapter 11)

Random walks (Chapter 12)

Appendices

Index

Table of Contents provided by Publisher. All Rights Reserved.