ChiSquared (FSharp.Stats) | FSharp.Stats

FSharp.Stats

ChiSquared Type

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

ChiSquared distribution.

Static members

Static member	Description
`ChiSquared.CDF(dof) (x)` Full Usage: `ChiSquared.CDF(dof) (x)` Parameters: dof : `float` - x : `float` - Returns: `float`	Computes the cumulative distribution function. dof : `float` x : `float` Returns: `float` Example
`ChiSquared.CheckParam(dof)` Full Usage: `ChiSquared.CheckParam(dof)` Parameters: dof : `float`	dof : `float`
`ChiSquared.Estimate(observations, ?weights)` Full Usage: `ChiSquared.Estimate(observations, ?weights)` Parameters: observations : `float[]` - An array of observed values. ?weights : `float[]` - Optional weights. Returns: `ContinuousDistribution<float, float>` An initialized Chi-squared distribution with estimated k. Modifiers: inline	Estimates the Chi-squared distribution from data. observations : `float[]` An array of observed values. ?weights : `float[]` Optional weights. Returns: `ContinuousDistribution<float, float>` An initialized Chi-squared distribution with estimated k.
`ChiSquared.Fit(observations, ?weights)` Full Usage: `ChiSquared.Fit(observations, ?weights)` Parameters: observations : `^T[]` - An array of observed values. ?weights : `^T[]` - Optional weights. Returns: `^T` Estimated degrees of freedom k. Modifiers: inline Type parameters: ^T, ^a	Fits a Chi-squared distribution by method-of-moments from raw observations. observations : `^T[]` An array of observed values. ?weights : `^T[]` Optional weights. Returns: `^T` Estimated degrees of freedom k.
`ChiSquared.Init(dof)` Full Usage: `ChiSquared.Init(dof)` Parameters: dof : `float` - Returns: `ContinuousDistribution<float, float>`	Initializes a ChiSquared distribution dof : `float` Returns: `ContinuousDistribution<float, float>` Example
`ChiSquared.InvCDF(dof) (p)` Full Usage: `ChiSquared.InvCDF(dof) (p)` Parameters: dof : `float` - Degrees of freedom. p : `float` - The probability value in [0.0, 1.0]. Returns: `float` The quantile corresponding to the cumulative probability p.	Computes the inverse CDF (quantile function). dof : `float` Degrees of freedom. p : `float` The probability value in [0.0, 1.0]. Returns: `float` The quantile corresponding to the cumulative probability p.
`ChiSquared.Mean(dof)` Full Usage: `ChiSquared.Mean(dof)` Parameters: dof : `float` - Returns: `float`	Computes the mean. dof : `float` Returns: `float` Example
`ChiSquared.Mode(dof)` Full Usage: `ChiSquared.Mode(dof)` Parameters: dof : `float` - Returns: `float`	Computes the mode. dof : `float` Returns: `float` Example
`ChiSquared.PDF(dof) (x)` Full Usage: `ChiSquared.PDF(dof) (x)` Parameters: dof : `float` - x : `float` - Returns: `float`	Computes the probability density function. dof : `float` x : `float` Returns: `float` Example
`ChiSquared.Sample(dof)` Full Usage: `ChiSquared.Sample(dof)` Parameters: dof : `float` - Returns: `float`	Produces a random sample using the current random number generator (from GetSampleGenerator()). dof : `float` Returns: `float` Example
`ChiSquared.SampleUnchecked(dof)` Full Usage: `ChiSquared.SampleUnchecked(dof)` Parameters: dof : `float` - Degrees of freedom (must be positive). Returns: `float` A sample from χ²(dof), interpreted as Gamma(dof/2, 2).	dof : `float` Degrees of freedom (must be positive). Returns: `float` A sample from χ²(dof), interpreted as Gamma(dof/2, 2).
`ChiSquared.StandardDeviation(dof)` Full Usage: `ChiSquared.StandardDeviation(dof)` Parameters: dof : `float` - Returns: `float`	Computes the standard deviation. dof : `float` Returns: `float` Example
`ChiSquared.Support(dof)` Full Usage: `ChiSquared.Support(dof)` Parameters: dof : `float` - Returns: `Interval<float>`	Returns the support of the exponential distribution: [0, Positive Infinity). dof : `float` Returns: `Interval<float>` Example
`ChiSquared.ToString(dof)` Full Usage: `ChiSquared.ToString(dof)` Parameters: dof : `float` - Returns: `string`	A string representation of the distribution. dof : `float` Returns: `string` Example
`ChiSquared.Variance(dof)` Full Usage: `ChiSquared.Variance(dof)` Parameters: dof : `float` - Returns: `float`	Computes the variance. dof : `float` Returns: `float` Example