Probability and Statistics for Computer Science
Seiten
2003
Wiley-Interscience (Verlag)
978-0-471-32672-4 (ISBN)
Wiley-Interscience (Verlag)
978-0-471-32672-4 (ISBN)
This title develops introductory topics in probability and statistics with particular emphasis on concepts that arise in computer science. It starts with the basic definitions of probability distributions and random variables and elaborates their properties and applications.
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
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
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.
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.
| Erscheint lt. Verlag | 30.7.2003 |
|---|---|
| Zusatzinfo | Charts: 11 B&W, 0 Color; Tables: 55 B&W, 0 Color; Exhibits: 27 B&W, 0 Color; Graphs: 81 B&W, 0 Color |
| Sprache | englisch |
| Maße | 162 x 246 mm |
| Gewicht | 1182 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Mathematik / Informatik ► Mathematik ► Statistik | |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| ISBN-10 | 0-471-32672-0 / 0471326720 |
| ISBN-13 | 978-0-471-32672-4 / 9780471326724 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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