Book contents
- Frontmatter
- Contents
- Preface to the Second Edition
- 0 Introduction
- 1 Probability
- 2 Conditional Probability and Independence
- 3 Counting
- 4 Random Variables: Distribution and Expectation
- 5 Random Vectors: Independence and Dependence
- 6 Generating Functions and Their Applications
- 7 Continuous Random Variables
- 8 Jointly Continuous Random Variables
- 9 Markov Chains
- Appendix: Solutions and Hints for Selected Exercises and Problems
- Further Reading
- Index of Notation
- Index
5 - Random Vectors: Independence and Dependence
Published online by Cambridge University Press: 05 September 2012
- Frontmatter
- Contents
- Preface to the Second Edition
- 0 Introduction
- 1 Probability
- 2 Conditional Probability and Independence
- 3 Counting
- 4 Random Variables: Distribution and Expectation
- 5 Random Vectors: Independence and Dependence
- 6 Generating Functions and Their Applications
- 7 Continuous Random Variables
- 8 Jointly Continuous Random Variables
- 9 Markov Chains
- Appendix: Solutions and Hints for Selected Exercises and Problems
- Further Reading
- Index of Notation
- Index
Summary
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- Type
- Chapter
- Information
- Elementary Probability , pp. 158 - 231Publisher: Cambridge University PressPrint publication year: 2003