Probability and Statistics for Computer Science

by James L. Johnson

Overview

Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: "to present the mathematical analysis underlying probability results"
Special emphases on simulation and discrete decision theory
Mathematically-rich, but self-contained text, at a gentle pace
Review of calculus and linear algebra in an appendix
Mathematical interludes (in each chapter) which examine mathematical techniques in the context of probabilistic or statistical importance
Numerous section exercises, summaries, historical notes, and Further Readings for reinforcement of content

Product Details

ISBN-13:	9780471326724
Publisher:	Wiley
Publication date:	07/22/2003
Pages:	760
Product dimensions:	6.38(w) x 9.67(h) x 1.59(d)

About the Author

JAMES L. JOHNSON holds a PhD in Mathematics and has twenty-five years experience in academic and industrial computer science. He is currently Professor of Computer Science at Western Washington University. He is also the author of Database: Models, Languages, Design.

Table of Contents

Preface.

1. Combinatorics and Probability.

2. Discrete Distributions.

3. Simulation.

4. Discrete Decision Theory.

5. Real Line-Probability.

6. Continuous Distributions.

7. Parameter Estimation.

Appendix A. Analytical Tools.

Appendix B. Statistical Tables.

Bibliography.

Index.

What People are Saying About This

From the Publisher

"Undoubtedly, this is an excellent and well-organized book." (Computing Reviews, August 27, 2008)

Editorial Reviews

"Undoubtedly, this is an excellent and well-organized book." (Computing Reviews, August 27, 2008)

From the Publisher