Probability and statistics for computer scientists
Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling ToolsIncorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic modeling, simulation, and data analysis; make optimal decisions under uncertainty; model and evaluate computer systems and networks; and prepare for advanced probability-based courses. Written in …
Read More ↓Title Statements
- Full title :Probability and statistics for computer scientists / by Michael Baron.
Summary
Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling ToolsIncorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic modeling, simulation, and data analysis; make optimal decisions under uncertainty; model and evaluate computer systems and networks; and prepare for advanced probability-based courses. Written in a lively style with simple language, this classroom-tested book can now be used in both one- and two-semester courses.
Read More ↓Edition Statements
- Publication Date:2013.
- Edition:2nd ed
Publication Statements
- Publisher(s):Chapman and Hall/CRC, an imprint of Taylor and Francis
- Place of Publication:Boca Raton, FL
- Language:eng
- Publication Date:2013.
Notes
Description based upon print version of record.
Chapter 12: AppendixBack Cover.
The Physical Object
- Description:1 online resource (469 p.).
Edition Identifiers
- ISBN:0429108761, 9780429108761, 1439875901, 9781439875902
- oclc:on1300579202
- LC Classification:QA273
- Dewey Decimal:519.201/13
Table of Contents
Front Cover; Contents; List of Figures; List of Tables; Preface; Chapter 1: Introduction and Overview; Part I: Probability and Random Variables; Chapter 2: Probability; Chapter 3: Discrete Random Variables and Their Distributions; Chapter 4: Continuous Distributions; Chapter 5: Computer Simulations and Monte Carlo Methods; Part II: Stochastic Processes; Chapter 6: Stochastic Processes; Chapter 7: Queuing Systems; Part III: Statistics205; Chapter 8: Introduction to Statistics; Chapter 9: Statistical Inference I; Chapter 10: Statistical Inference II; Chapter 11: Regression; Part IV: Appendix
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