StudentT (FSharp.Stats)

StudentT Type

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

Student's T-distribution

Static members

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