Difference between revisions of "Probability Distributions"
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* [[Custom continuous distributions]] | * [[Custom continuous distributions]] | ||
* [[Special probabilistic functions]] | * [[Special probabilistic functions]] | ||
+ | * [[Advanced probability functions]] | ||
* [[Multivariate distributions]] | * [[Multivariate distributions]] | ||
* [[Importance weights]] | * [[Importance weights]] |
Latest revision as of 23:42, 2 June 2016
This chapter describes how to define uncertain quantities using probability distributions, discrete or continuous. You can use standard parametric distributions, such as Normal, Uniform, Bernoulli, binomial, or custom distributions, where you specify points in tables or arrays. You can also create multivariate distributions over an array of uncertain quantities.
Sections
- Probability distributions
- Parametric discrete distributions
- Probability density and mass graphs
- The domain attribute and discrete variables
- Custom discrete probabilities
- Parametric continuous distributions
- Custom continuous distributions
- Special probabilistic functions
- Advanced probability functions
- Multivariate distributions
- Importance weights
See Also
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