Book contents
- Frontmatter
- Contents
- Chapter dependencies
- Preface
- 1 Introduction to probability
- 2 Introduction to discrete random variables
- 3 More about discrete random variables
- 4 Continuous random variables
- 5 Cumulative distribution functions and their applications
- 6 Statistics
- 7 Bivariate random variables
- 8 Introduction to random vectors
- 9 Gaussian random vectors
- 10 Introduction to random processes
- 11 Advanced concepts in random processes
- 12 Introduction to Markov chains
- 13 Mean convergence and applications
- 14 Other modes of convergence
- 15 Self similarity and long-range dependence
- Bibliography
- Index
Chapter dependencies
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- Chapter dependencies
- Preface
- 1 Introduction to probability
- 2 Introduction to discrete random variables
- 3 More about discrete random variables
- 4 Continuous random variables
- 5 Cumulative distribution functions and their applications
- 6 Statistics
- 7 Bivariate random variables
- 8 Introduction to random vectors
- 9 Gaussian random vectors
- 10 Introduction to random processes
- 11 Advanced concepts in random processes
- 12 Introduction to Markov chains
- 13 Mean convergence and applications
- 14 Other modes of convergence
- 15 Self similarity and long-range dependence
- Bibliography
- Index
Summary
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- Type
- Chapter
- Information
- Publisher: Cambridge University PressPrint publication year: 2006