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    • Accumulator(T, U) Class
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    • Grouping Class
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    • IAccumulator(T, U) Interface
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    • Index Class
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    • JoinIndex Class
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    • Parameter(T) Class
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    • RankTiebreaker Enumeration
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    • Subset Class
    • TransformedParameter(T) Class
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  • TransformedParameter(T) Class
    • Properties
    • Methods

TransformedParameterT Class

Extreme Optimization Numerical Libraries for .NET Professional
Represents a parameter in a statistical model that is a transformation of a standard parameter.
Inheritance Hierarchy

SystemObject
  Extreme.DataAnalysisParameterT
    Extreme.DataAnalysisTransformedParameterT

Namespace:  Extreme.DataAnalysis
Assembly:  Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
Syntax

C#
VB
C++
F#
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public class TransformedParameter<T> : Parameter<T>
Public Class TransformedParameter(Of T)
	Inherits Parameter(Of T)
generic<typename T>
public ref class TransformedParameter : public Parameter<T>
type TransformedParameter<'T> =  
    class
        inherit Parameter<'T>
    end

Type Parameters

T

The TransformedParameterT type exposes the following members.

Properties

  NameDescription
Public propertyDistribution
Gets the distribution of the estimated value.
(Inherited from ParameterT.)
Public propertyName
Gets or sets the name of the parameter.
(Inherited from ParameterT.)
Public propertyPValue
Gets the probability that the estimated value is not zero.
(Inherited from ParameterT.)
Public propertyStandardError
Gets the standard error of the estimated value.
(Inherited from ParameterT.)
Public propertyStatistic
Gets the value of the statistic for this estimated value.
(Overrides ParameterTStatistic.)
Public propertyValue
Gets the estimated value.
(Inherited from ParameterT.)
Public propertyVariable
Gets the independent Variable this ParameterT corresponds to.
(Inherited from ParameterT.)
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Methods

  NameDescription
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGetConfidenceInterval
Gets the confidence interval for the estimated value at the specified confidence level.
(Overrides ParameterTGetConfidenceInterval(Double).)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetSignificanceTest
Returns a hypothesis test for the significance of the parameter value.
(Inherited from ParameterT.)
Public methodGetTTest
Returns a OneSampleTTest object that can be used to perform further analysis on the parameter.
(Inherited from ParameterT.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodToString
Returns a string representation of this instance.
(Inherited from ParameterT.)
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Remarks

Use the TransformedParameterT class to represent a ParameterT whose value is a transformation of another parameter.

Confidence intervals for the parameter can be obtained using the GetConfidenceInterval(Double) method. The Statistic and PValue are calculated based on the original (untrasnformed) value and standard error.

ParameterT objects cannot be created directly. They are created by the statistical model and exposed through the model's ParameterValues collection.

See Also

Reference

Extreme.DataAnalysis Namespace

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