ILNumerics Ultimate VS

ChiDistribution Class

ILNumerics Ultimate VS Documentation
ILNumerics - Technical Application Development
Continuous Univariate Chi distribution. This distribution is a continuous probability distribution. The distribution usually arises when a k-dimensional vector's orthogonal components are independent and each follow a standard normal distribution. The length of the vector will then have a chi distribution. Wikipedia - Chi distribution.

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Inheritance Hierarchy

SystemObject
  ILNumerics.Toolboxes.DistributionsChiDistribution

Namespace:  ILNumerics.Toolboxes.Distributions
Assembly:  ILNumerics.Toolboxes.Statistics (in ILNumerics.Toolboxes.Statistics.dll) Version: 5.5.0.0 (5.5.7503.3146)
Syntax

public class ChiDistribution

The ChiDistribution type exposes the following members.

Constructors

  NameDescription
Public methodChiDistribution
Initializes a new instance of the ChiDistribution class.

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Properties

  NameDescription
Public propertyDegreesOfFreedom
Gets or sets the degrees of freedom (k) of the Chi distribution. Range: k > 0.

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Public propertyEntropy
Gets the entropy of the distribution.

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Public propertyMaximum
Gets the maximum of the distribution.

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Public propertyMean
Gets the mean of the distribution.

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Public propertyMedian
Gets the median of the distribution.

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Public propertyMinimum
Gets the minimum of the distribution.

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Public propertyMode
Gets the mode of the distribution.

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Public propertySkewness
Gets the skewness of the distribution.

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Public propertyStdDev
Gets the standard deviation of the distribution.

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Public propertyVariance
Gets the variance of the distribution.

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Methods

  NameDescription
Public methodCDF
Computes the cumulative distribution (CDF) of the distribution at x, i.e. P(X ≤ x).

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Public methodCumulativeDistribution
Computes the cumulative distribution (CDF) of the distribution at x, i.e. P(X ≤ x).

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Public methodDensity
Computes the probability density of the distribution (PDF) at x, i.e. ∂P(X ≤ x)/∂x.

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Public methodDensityLog
Computes the log probability density of the distribution (lnPDF) at x, i.e. ln(∂P(X ≤ x)/∂x).

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Public methodPDF
Computes the probability density of the distribution (PDF) at x, i.e. ∂P(X ≤ x)/∂x.

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Public methodPDFLog
Computes the log probability density of the distribution (lnPDF) at x, i.e. ln(∂P(X ≤ x)/∂x).

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Public methodSamples(InArrayInt64)
Generates a sequence of samples from the distribution.

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Public methodStatic memberSamples(InArrayInt64, Int32)
Generates a sequence of samples from the Chi distribution.

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Public methodToString
A string representation of the distribution.

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(Overrides ObjectToString.)
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Remarks

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See Also

Reference