GaussianDistribution Class

[This is preliminary documentation and is subject to change.]

Inheritance Hierarchy

Syntax

public class GaussianDistribution

The GaussianDistribution type exposes the following members.

Constructors

	Name	Description
	GaussianDistribution	Construct a GD using the mean and standard deviation.

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Properties

	Name	Description
	Mean	The mean of the distribution.
	NormalizationConstant	The normalization constant of the distribution.
	Precision	The precision of the distribution (1 / (SD^2)).
	PrecisionMean	The precision-mean of the distribution (P x M).
	StandardDeviation	The standard deviation of the distribution.

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Methods

	Name	Description
	AbsoluteDifference	Get the absolute difference between two distributions.
	At(Double)	Returns the value at 'x'.
	At(Double, Double, Double)	Returns the value at 'x'.
	Clone	Create a clone of this distribution.
	CumulativeTo(Double)	Returns the area under the curve up to 'x'
	CumulativeTo(Double, Double, Double)	Returns the area under the curve up to 'x'
	FromPrecisionMean	Create a GD from the precision mean.
	InverseCumulativeTo(Double)	Returns the area under the curve after 'x'
	InverseCumulativeTo(Double, Double, Double)	Returns the area under the curve after 'x'
	LogProductNormalization	Returns the result of a log product operation.
	LogRatioNormalization	Returns the result of a log ratio normalization.
	ToString	Convert the gaussian distribution to a string. (Overrides ObjectToString.)

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Operators

	Name	Description
	Division	Returns the result of dividing two gaussian distributions.
	Multiply	Returns the result of multiplying two gaussian distributions.
	Subtraction	Get the absolute difference between two distributions.

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See Also