GlobalFittedParameter Class

Class for providing fit statistics about a global fit parameter after the fit has been performed.

Inheritance Hierarchy

SystemObject
CenterSpace.NMath.CoreGlobalFitParameterInfo
CenterSpace.NMath.CoreGlobalFittedParameter

Namespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.3

Syntax

[SerializableAttribute]
public class GlobalFittedParameter : GlobalFitParameterInfo

<SerializableAttribute>
Public Class GlobalFittedParameter
	Inherits GlobalFitParameterInfo

[SerializableAttribute]
public ref class GlobalFittedParameter : public GlobalFitParameterInfo

[<SerializableAttribute>]
type GlobalFittedParameter =  
    class
        inherit GlobalFitParameterInfo
    end

The GlobalFittedParameter type exposes the following members.

Constructors

	Name	Description
	GlobalFittedParameter	Constructs a GlobalFittedParameter object from the given information.

Properties

	Name	Description
	DataSetIndex	Gets the index of the data set that corresponds to this parameter estimate. Note that this is relevent only if the parameter is not shared.
	DegreesOfFreedom	Gets the degrees of freedom.
	Description	Get and sets the parameter description. (Inherited from GlobalFitParameterInfo.)
	Index	Gets the index of this parameter in the model.
	Name	Gets and sets the parameter name. (Inherited from GlobalFitParameterInfo.)
	Sharing	Gets and sets the parameter sharing option. (Inherited from GlobalFitParameterInfo.)
	StandardError	Gets the standard error of this parameter.
	Value	Gets the least squares estimate for the parameter value.

Methods

	Name	Description
	Clone	Creates a deep copy of self.
	ConfidenceInterval	Returns the 1 - alpha confidence interval for this parameter.
	ToString	Formatted string for the statistics. (Overrides ObjectToString.)
	TStatistic	Returns the t-statistic for the null hypothesis that this parameter is equal to the given test value.
	TStatisticCriticalValue	Gets the critical value of the t-statistic for the specified alpha level.
	TStatisticPValue	Returns the p-value for a t-test with the null hypothesis that this parameter is equal to the given test value versus the alternative hypothesis that it is not.