Introduction to Probability, 2nd Rev edition

Introductory textbook for undergraduates, develops key ideas in probability and describes a variety of applications and of nonintuitive examples.

**Tag(s):**
Mathematics

**Publication date**: 01 Jul 1997

**ISBN-10**:
0821807498

**ISBN-13**:
9780821807491

**Paperback**:
520 pages

**Views**: 33,236

**Type**: Textbook

**Publisher**:
American Mathematical Society

**License**:
GNU Free Documentation License

**Post time**: 11 Jun 2005 07:10:16

Introduction to Probability, 2nd Rev edition

Introductory textbook for undergraduates, develops key ideas in probability and describes a variety of applications and of nonintuitive examples.

Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled "GNU Free Documentation License".

Click**here** to read the full license.

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From the Book Description:

This text is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science. It presents a thorough treatment of 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 emphasize an overly rigorous or formal view of probabililty and therefore offers some strong pedagogical value. Hence, the discrete discussions can sometimes serve to motivate the more abstract continuous probability discussions.

This text is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science. It presents a thorough treatment of 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 emphasize an overly rigorous or formal view of probabililty and therefore offers some strong pedagogical value. Hence, the discrete discussions can sometimes serve to motivate the more abstract continuous probability discussions.

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About The Author(s)

Charles M. Grinstead is a Professor at Department of Mathematics and Statistics, Swarthmore College.

Charles M. Grinstead is a Professor at Department of Mathematics and Statistics, Swarthmore College.

J. Laurie Snell received his PhD in mathematics in 1951 from the University of Illinois under the direction of Professor J. L. Doob. From 1951 to 1954 he was a Fine Instructor at Princeton. He then taught mathematics at Dartmouth College from 1954 to 1996. While at Dartmouth he developed, with Professors Kemeny and Thompson, the Finite Mathematics course and wrote with them the first Finite Mathematics book.

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