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  • Aggregator Class
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• UnivariateModel Class
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• Members

Collapse AllExpand All        Code: All Code: Multiple Code: C# Code: Visual Basic Code: Visual C++ Code: F#        Members: Show All Members: Filtered Members: Filtered Members: Filtered

C#
Visual Basic
Visual C++
F#

Include Protected Members
Include Inherited Members

UnivariateModel Members

UnivariateModel Class Constructors Methods Fields Properties See Also

The UnivariateModel type exposes the following members.

Constructors

	Name	Description
	UnivariateModel	Overloaded.

Methods

	Name	Description
	Compute	Overloaded.
	ComputeModel	Overloaded.
	Contains	Returns a value that indicates whether another UnivariateModel is nested within this instance. (Inherited from Model.)
	Equals	Determines whether the specified Object is equal to the current Object. (Inherited from Object.)
	Finalize	Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection. (Inherited from Object.)
	GetAkaikeInformationCriterion	Returns the Akaike information criterion (AIC) value for the model.
	GetBayesianInformationCriterion	Returns the Bayesian information criterion (BIC) value for the model.
	GetHashCode	Serves as a hash function for a particular type. (Inherited from Object.)
	GetLogLikelihood	Gets the log-likelihood of the fitted model.
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	ResetComputation	Clears all computed model parameters. (Inherited from Model.)
	SetAnovaModelRow	Sets the data of a row in the model's AnovaTable.
	SetAnovaRow	Sets the data of a row in the model's AnovaTable.
	ToString	Returns a String that represents the current Object. (Inherited from Object.)

Fields

	Name	Description
	DefaultInterceptParameterName	Specifies the default name of the intercept parameter for regression models.

Properties

	Name	Description
	AdjustedRSquared	Gets the adjusted R Squared value for the regression.
	AnovaTable	Gets the AnovaTable that summarizes the results of this model.
	Computed	Gets a value that indicates whether the regression model has been computed. (Inherited from Model.)
	DegreesOfFreedom	Gets the total degrees of freedom of the data.
	DependentVariable	Gets the dependent variable for the model.
	DependentVariables	Gets the collection of dependent variables associated with this model. (Inherited from Model.)
	FStatistic	Gets the F statistic for the regression.
	IndependentVariables	Gets the collection of independent variables associated with this model. (Inherited from Model.)
	MaxDegreeOfParallelism	Gets or sets the maximum degree of parallelism enabled by this instance. (Inherited from Model.)
	NumberOfObservations	Gets the number of observations the model is based on. (Overrides Model..::..NumberOfObservations.)
	ParallelOptions	Gets or sets an object that specifies how the calculation of the model should be parallelized. (Inherited from Model.)
	Parameters	Gets the collection of parameters associated with this model.
	PValue	Gets the probability corresponding to the F statistic for the regression.
	ResidualSumOfSquares	Gets the sum of squares of the residuals of the model.
	RSquared	Gets the R Squared value for the regression.
	StandardError	Gets the standard error of the regression.

See Also

UnivariateModel Class

Extreme.Statistics Namespace

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