ILNumerics Ultimate VS

NormalDistribution Methods

ILNumerics Ultimate VS Documentation
ILNumerics - Technical Application Development

The NormalDistribution type exposes the following members.

Methods

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

[ILNumerics Statistics Toolbox]

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

[ILNumerics Statistics Toolbox]

Public methodStatic memberEstimate
Estimates the normal distribution parameters from sample data with maximum-likelihood.

[ILNumerics Statistics Toolbox]

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

[ILNumerics Statistics Toolbox]

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

[ILNumerics Statistics Toolbox]

Public methodStatic memberSamples
Computes a set of samples with normal distribution.

[ILNumerics Statistics Toolbox]

Public methodToString
A string representation of the distribution.

[ILNumerics Statistics Toolbox]

(Overrides ObjectToString.)
Public methodStatic memberWithMeanPrecision
Constructs a normal distribution from a mean and precision.

[ILNumerics Statistics Toolbox]

Public methodStatic memberWithMeanStdDev
Constructs a normal distribution from a mean and standard deviation.

[ILNumerics Statistics Toolbox]

Public methodStatic memberWithMeanVariance
Constructs a normal distribution from a mean and variance.

[ILNumerics Statistics Toolbox]

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