This book is an introduction to the mathematical theory of probability.
Contents
Preliminaries
Random Variables
- Random Variables
- Moments and Expectation
- Important Distributions
- Important Densities
- Transformation of Probability Densities
- Joint Distributions
- Limit Theorems
- Applications of Random Variables
- Sampling / Generation of Random Variables
Poisson Processes
Markov Chains
Further reading
- Index
- Links
- For a gentler introduction to probability, see High School Mathematics Extensions/Discrete Probability.
- Many subjects have probability as a prerequisite: Engineering Analysis, Signals and Systems, Statistics.
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