F (FSharp.Stats)

F Type

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

F-distribution

Static members

Static member	Description
`F.CDF(dof1) (dof2) (x)` Full Usage: `F.CDF(dof1) (dof2) (x)` Parameters: dof1 : `float` - dof2 : `float` - x : `float` - Returns: `float`	Computes the cumulative distribution function. dof1 : `float` dof2 : `float` x : `float` Returns: `float` Example
`F.CheckParam(dof1) (dof2)` Full Usage: `F.CheckParam(dof1) (dof2)` Parameters: dof1 : `float` dof2 : `float`	dof1 : `float` dof2 : `float`
`F.Init(dof1) (dof2)` Full Usage: `F.Init(dof1) (dof2)` Parameters: dof1 : `float` - dof2 : `float` - Returns: `ContinuousDistribution<float, float>`	Initializes a F-distribution dof1 : `float` dof2 : `float` Returns: `ContinuousDistribution<float, float>` Example
`F.InvCDF(dof1) (dof2) (x)` Full Usage: `F.InvCDF(dof1) (dof2) (x)` Parameters: dof1 : `float` - dof2 : `float` - x : `float` - Returns: `'a`	Computes the inverse of the cumulative distribution function. dof1 : `float` dof2 : `float` x : `float` Returns: `'a` Example
`F.Mean(dof1) (dof2)` Full Usage: `F.Mean(dof1) (dof2)` Parameters: dof1 : `float` - dof2 : `float` - Returns: `float`	Computes the mean. dof1 : `float` dof2 : `float` Returns: `float` Example
`F.Mode(dof1) (dof2)` Full Usage: `F.Mode(dof1) (dof2)` Parameters: dof1 : `float` - dof2 : `float` - Returns: `float`	Computes the Mode. dof1 : `float` dof2 : `float` Returns: `float` Example
`F.PDF(dof1) (dof2) (x)` Full Usage: `F.PDF(dof1) (dof2) (x)` Parameters: dof1 : `float` - dof2 : `float` - x : `float` - Returns: `float`	Computes the probability density function. dof1 : `float` dof2 : `float` x : `float` Returns: `float` Example
`F.Sample(dof1) (dof2)` Full Usage: `F.Sample(dof1) (dof2)` Parameters: dof1 : `float` - dof2 : `float` - Returns: `float`	Produces a random sample using the current random number generator (from GetSampleGenerator()). dof1 : `float` dof2 : `float` Returns: `float` Example
`F.StandardDeviation(dof1) (dof2)` Full Usage: `F.StandardDeviation(dof1) (dof2)` Parameters: dof1 : `float` - dof2 : `float` - Returns: `float`	Computes the standard deviation. dof1 : `float` dof2 : `float` Returns: `float` Example
`F.Support(dof1)` Full Usage: `F.Support(dof1)` Parameters: dof1 : `float` - Returns: `Interval<float>`	Returns the support of the exponential distribution: if dof1 = 1 then (0., Positive Infinity) else [0., Positive Infinity). dof1 : `float` Returns: `Interval<float>` Example
`F.ToString(dof1) (dof2)` Full Usage: `F.ToString(dof1) (dof2)` Parameters: dof1 : `float` - dof2 : `float` - Returns: `string`	A string representation of the distribution. dof1 : `float` dof2 : `float` Returns: `string` Example
`F.Variance(dof1) (dof2)` Full Usage: `F.Variance(dof1) (dof2)` Parameters: dof1 : `float` - dof2 : `float` - Returns: `float`	Computes the variance. dof1 : `float` dof2 : `float` Returns: `float` Example