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More About This Textbook
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
Editorial Reviews
From the Publisher
"This text will fill a gap in the education of a sophisticatedcomputer science student who has a firm base in mathematics andstatistics." (Computing Reviews, May 7, 2009)"…this textbook would be ideal." (The AmericanStatistician, February 2006)
"This is really a statistics textbook written explicitly forundergraduate computer science majors…I found the numerousexamples of the use of statistics within the field of computerscience extremely informative." (Technometrics, November2004)
"Thorough, in-depth, relatively complete and rigorousintroduction to the statistics a CS professional should know."(American Mathematical Monthly, August 2004)
"This is a rigorous introductory text in probability andstatistics, which also develops in a rigorous fashion all thenecessary supporting mathematics beyond calculus and algebra."(Mathematical Reviews, issue 2004i)
"...one-of-a-kind resource...proves an ideal resource forcomputer science students and practitioners interested in aprobability study..." (Zentralblatt Math, Vol. 1027,2004)
“...presents introductory topics in probability andstatistics with particular emphasis on concepts that arise incomputer science...disguised also by the feature that it developsall necessary supporting mathematics in a thorough and rigorousfashion.” (Quarterly of Applied Mathematics, Vol. LXI,No. 4, December 2003)
Product Details
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Meet 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.