Introduction to Probability (Charles M. Grinstead, et al)

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Introduction to Probability (Charles M. Grinstead, et al)

The book is a lovely beginning-level introduction to probability theory. The book uses numerous examples and develops theory simply yet rigorously, with the least amount of abstraction possible. It does bring something useful to the study of probability theory.

This book is intended for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science who are taking an introductory probability course at the university level. It provides an in-depth analysis of the concepts and methods required for a complete comprehension of the subject. The book is also suggested reading for courses on discrete probability.

The explanation of discrete and continuous probabilities is presented separately but concurrently due to the way the material is structured. This arrangement has considerable pedagogical value because it does not emphasize a rigid or formal interpretation of probability. Therefore, the more abstract continuous probability talks can occasionally be motivated by discrete debates.

Features: The main ideas are presented in a fairly slow manner, with many fascinating applications to probability and some counterintuitive concepts being demonstrated. Exercises totaling more than 600 offers the chance to hone abilities and solidify conceptual comprehension. The history of discrete probability has been extensively discussed. Numerous computer programs that illustrate the algorithms or computing techniques for significant problems are included in the text.

Ebook Details

Published Date / Year
2 Revised edition (July 1, 1997), eBook (2006)
GNU Free Documentation License (FDL)
510 pages
eBook Format
PDF (3.2 MB)

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