Uniform (FSharp.Stats)

Uniform Type

Namespace: FSharp.Stats.Distributions
Assembly: FSharp.Stats.dll
Parent Module: Continuous
Base Type: obj

Uniform distribution.

Static members

Static member	Description
`Uniform.CDF(min) (max) (x)` Full Usage: `Uniform.CDF(min) (max) (x)` Parameters: min : `float` max : `float` x : `float` Returns: `float`	Computes the cumulative distribution function. min : `float` max : `float` x : `float` Returns: `float`
`Uniform.Mean(min) (max)` Full Usage: `Uniform.Mean(min) (max)` Parameters: min : `float` max : `float` Returns: `float`	Computes the mean. min : `float` max : `float` Returns: `float`
`Uniform.PDF(min) (max) (x)` Full Usage: `Uniform.PDF(min) (max) (x)` Parameters: min : `float` max : `float` x : `float` Returns: `float`	Computes the probability density function. min : `float` max : `float` x : `float` Returns: `float`
`Uniform.Sample(min) (max)` Full Usage: `Uniform.Sample(min) (max)` Parameters: min : `float` max : `float` Returns: `float`	Produces a random sample using the current random number generator (from GetSampleGenerator()). min : `float` max : `float` Returns: `float`
`Uniform.StandardDeviation(min) (max)` Full Usage: `Uniform.StandardDeviation(min) (max)` Parameters: min : `float` max : `float` Returns: `float`	Computes the standard deviation. min : `float` max : `float` Returns: `float`
`Uniform.Support(min) (max)` Full Usage: `Uniform.Support(min) (max)` Parameters: min : `float` max : `float` Returns: `float * float`	Returns the support of the exponential distribution: [0, Positive Infinity). min : `float` max : `float` Returns: `float * float`
`Uniform.Variance(min) (max)` Full Usage: `Uniform.Variance(min) (max)` Parameters: min : `float` max : `float` Returns: `float`	Computes the variance. min : `float` max : `float` Returns: `float`