Distribution

Namespace: Angara
Parent Module: Statistics

Union Cases

Union Case	Description
`Bernoulli(float)` Signature: float	Distribution of a yes/no experiment (1 or 0) which yields success with probability `p`.
`Binomial(int,float)` Signature: int * float	A number of successes in a sequence of `n` independent yes/no experiments, each of which yields success with probability `p`.
`Exponential(mean)` Signature: float	Time between events in a process in which events occur continuously and independently at a constant average `rate = 1/mean`.
`Gamma(float,float)` Signature: float * float	A family of distributions of positive values. The parameters alpha and beta are sometimes called shape and rate.
`Linear(...)` Signature: float * float * float	A linearly changing distribution over a [`lower_bound`, `upper_bound`) range.
`LogNormal(float,float)` Signature: float * float	Normal distribution in log space of `mean`, `standard_deviation_of_log`.
`LogUniform(float,float)` Signature: float * float	A uniform distribution in log space.
`Mixture((float * Distribution) list)` Signature: (float * Distribution) list	A weighted mixture of distributions.
`NegativeBinomial(mean,r)` Signature: float * float	A number of successes before a given number of failures `r` in a sequence of yes/no experiments, each of which yields success with probability `p = mean/(mean+r)`.
`Normal(float,float)` Signature: float * float	Normal distribution of `mean`, `standard_deviation`.
`Poisson(mean)` Signature: float	A number of events occuring in a fixed interval of time if these events occur with a known average rate = `mean`.
`Uniform(float,float)` Signature: float * float	A uniform distribution over [`lower_bound`, `upper_bound`) range.

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