Probability theory and stochastic processes Concept
Probability distribution
Summary
A probability distribution describes how probability is spread over the possible values of a random quantity. Formally it is a probability measure on a space of values, such as the real line with its Borel sets. The node probability distribution gives the precise definition.
Where this leads
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Further reading
About this page
| Tag | 0DVDCMA2DK |
|---|---|
| URI | m2://0DVDCMA2DK |
| Aliases | distribution |
| Kind | concept |
| Writing | W1 stated |
| MSC | 60E05 |
| Specializes | Probability measure |
| Same as |
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What this page needs for W2
- edge not_instance_of in: at least one non-example (0 of 1)
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What links here
Special cases
- Discrete uniform distribution
- Geometric distribution
- Normal distribution
- Student's t-distribution
- Continuous uniform distribution
- Gamma distribution
- Joint probability distribution
- Beta distribution
- Marginal distribution
- Binomial distribution
- Hypergeometric distribution
- Poisson distribution
- Negative binomial distribution
- Multivariate normal distribution
- Conditional probability distribution
- Sampling distribution
- Tracy–Widom distribution
- Wishart distribution
- Infinitely divisible distribution
- F-distribution
- Noncentral chi-squared distribution
- von Mises–Fisher distribution
- Sub-Gaussian distribution
- Hotelling's T-squared distribution
Definitions
Used by
- Queueing theory
- von Mises–Fisher distribution
- Characterization of Shannon entropy
- Lévy process
- Mixture model
- Infinitely divisible distribution
- Tracy–Widom distribution