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Probability and Statistics for Computer Science. Edition No. 1

  • ID: 5225184
  • Book
  • July 2003
  • 760 Pages
  • John Wiley and Sons Ltd
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
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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.

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James L. Johnson Western Washington University, WA.
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