LogNormal (FSharp.Stats)

LogNormal Type

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

Log-Normal distribution.

Static members

Static member	Description
`LogNormal.CDF(mu) (tau) (x)` Full Usage: `LogNormal.CDF(mu) (tau) (x)` Parameters: mu : `float` tau : `float` x : `'a` Returns: `'b`	Computes the cumulative distribution function. mu : `float` tau : `float` x : `'a` Returns: `'b`
`LogNormal.Estimate(samples)` Full Usage: `LogNormal.Estimate(samples)` Parameters: samples : `seq<float>` Returns: `Distribution<float, float>`	Estimates the log-normal distribution parameters from sample data with maximum-likelihood. samples : `seq<float>` Returns: `Distribution<float, float>`
`LogNormal.Mean(mu) (tau)` Full Usage: `LogNormal.Mean(mu) (tau)` Parameters: mu : `float` tau : `float` Returns: `float`	Computes the mean. mu : `float` tau : `float` Returns: `float`
`LogNormal.PDF(mu) (tau) (x)` Full Usage: `LogNormal.PDF(mu) (tau) (x)` Parameters: mu : `float` tau : `float` x : `float` Returns: `'a`	Computes the probability density function. mu : `float` tau : `float` x : `float` Returns: `'a`
`LogNormal.Sample(mu) (tau)` Full Usage: `LogNormal.Sample(mu) (tau)` Parameters: mu : `float` tau : `float` Returns: `float`	Produces a random sample using the current random number generator (from GetSampleGenerator()). mu : `float` tau : `float` Returns: `float`
`LogNormal.StandardDeviation(mu) (tau)` Full Usage: `LogNormal.StandardDeviation(mu) (tau)` Parameters: mu : `float` tau : `float` Returns: `float`	Computes the standard deviation. mu : `float` tau : `float` Returns: `float`
`LogNormal.Support(mu) (tau)` Full Usage: `LogNormal.Support(mu) (tau)` Parameters: mu : `float` tau : `float` Returns: `float * float`	Returns the support of the exponential distribution: [0, Positive Infinity). mu : `float` tau : `float` Returns: `float * float`
`LogNormal.Variance(mu) (tau)` Full Usage: `LogNormal.Variance(mu) (tau)` Parameters: mu : `float` tau : `float` Returns: `float`	Computes the variance. mu : `float` tau : `float` Returns: `float`
`LogNormal.init mu tau` Full Usage: `LogNormal.init mu tau` Parameters: mu : `float` tau : `float` Returns: `Distribution<float, float>`	mu : `float` tau : `float` Returns: `Distribution<float, float>`