NormalFitResult Class

Represents the result of a sample to a normal distribution.

Inheritance Hierarchy

Namespace: Meta.Numerics.Statistics.Distributions
Assembly: Meta.Numerics (in Meta.Numerics.dll) Version: 4.1.4

Syntax

public sealed class NormalFitResult : DistributionFitResult<NormalDistribution>

Public NotInheritable Class NormalFitResult
	Inherits DistributionFitResult(Of NormalDistribution)

public ref class NormalFitResult sealed : public DistributionFitResult<NormalDistribution^>

[<SealedAttribute>]
type NormalFitResult =  
    class
        inherit DistributionFitResult<NormalDistribution>
    end

The NormalFitResult type exposes the following members.

Properties

	Name	Description
	Distribution	Gets the best-fit distribution. (Inherited from DistributionFitResultT.)
	GoodnessOfFit	Gets a test of the quality of the fit of the distribution to the data. (Inherited from DistributionFitResultT.)
	Mean	Gets an estimate, with uncertainty, of the mean.
	Parameters	Gets the parameters of the regression. (Inherited from FitResult.)
	StandardDeviation	Gets and estimate, with uncertainty, of the standard deviation.

Methods

	Name	Description
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)