Probability
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This book is an introduction to the mathematical theory of probability.
Contents[edit]
Preliminaries[edit]
- Introduction
- Set Theory
- The Counting Principle
- Combinatorics
- Probability Spaces
- Conditional Probability
Random Variables[edit]
- 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[edit]
Markov Chains[edit]
Further reading[edit]
- 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.
