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    • Extreme.Mathematics Namespace
    • Extreme.Mathematics.Algorithms Namespace
    • Extreme.Mathematics.Calculus Namespace
    • Extreme.Mathematics.Calculus.OrdinaryDifferentialEquations Namespace
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    • Extreme.Mathematics.EquationSolvers Namespace
    • Extreme.Mathematics.Generic Namespace
    • Extreme.Mathematics.Generic.LinearAlgebra Namespace
    • Extreme.Mathematics.Generic.LinearAlgebra.Providers Namespace
    • Extreme.Mathematics.LinearAlgebra Namespace
    • Extreme.Mathematics.LinearAlgebra.Complex Namespace
    • Extreme.Mathematics.LinearAlgebra.IO Namespace
    • Extreme.Mathematics.LinearAlgebra.Providers Namespace
    • Extreme.Mathematics.LinearAlgebra.Sparse Namespace
    • Extreme.Mathematics.Optimization Namespace
    • Extreme.Mathematics.Optimization.LinearProgramming Namespace
    • Extreme.Mathematics.SignalProcessing Namespace
    • Extreme.Mathematics.SpecialFunctions Namespace
    • Extreme.Statistics Namespace
    • Extreme.Statistics.Distributions Namespace
    • Extreme.Statistics.Multivariate Namespace
    • Extreme.Statistics.Random Namespace
    • Extreme.Statistics.Tests Namespace
    • Extreme.Statistics.TimeSeriesAnalysis Namespace
  • Extreme.Statistics Namespace
    • Aggregator Class
    • AnovaModel Class
    • AnovaModelRow Class
    • AnovaRow Class
    • AnovaRowCollection Class
    • AnovaRowType Enumeration
    • AnovaTable Class
    • BoundaryIntervalBehavior Enumeration
    • CategoricalScale Class
    • CategoricalVariable Class
    • CategoricalVariable.CategoricalFilters Structure
    • Cell Class
    • CellArray Class
    • CollectionSortOrder Class
    • DataArrayBase Class
    • DataArrayElement Class
    • DateTimeInterval Structure
    • DateTimeScale Class
    • DateTimeUnit Enumeration
    • DateTimeVariable Class
    • DateTimeVariable.DateTimeFilters Structure
    • Filter Class
    • GeneralizedLinearModel Class
    • Histogram Class
    • HistogramBin Class
    • HistogramBinCollection Structure
    • InsufficientDataException Class
    • KeyVariable Class
    • KeyVariable(T) Class
    • LinearRegressionModel Class
    • LinkFunction Class
    • LogisticRegressionMethod Enumeration
    • LogisticRegressionModel Class
    • MissingValueAction Enumeration
    • MissingValueException Class
    • Model Class
    • ModelFamily Class
    • NonlinearRegressionModel Class
    • NumericalScale Class
    • NumericalVariable Class
    • NumericalVariable.NumericalFilters Structure
    • NumericalVariable.NumericalVariableTransforms Structure
    • Observation Structure
    • ObservationCollection Class
    • OneWayAnovaModel Class
    • OneWayRAnovaModel Class
    • Parameter Class
    • ParameterCollection Class
    • PolynomialRegressionModel Class
    • RankTiebreaker Enumeration
    • ScaleFittingMethod Enumeration
    • SimpleRegressionModel Class
    • SortOrder Enumeration
    • SpecialBins Enumeration
    • Stats Class
    • TestOfHomogeneityOfVariances Enumeration
    • TestOfNormality Enumeration
    • TwoWayAnovaModel Class
    • UnivariateModel Class
    • Variable Class
    • VariableCollection Class
  • UnivariateModel Class
    • Members
    • Constructors
    • Fields
    • Methods
    • Properties
  • Members
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UnivariateModel Members

UnivariateModel Class  Constructors  Methods  Fields  Properties  See Also 

The UnivariateModel type exposes the following members.

Constructors

  NameDescription
Protected methodUnivariateModelOverloaded.

Methods

  NameDescription
Public methodCompute
Computes the model.
(Inherited from Model.)
Protected methodComputeModel
Implemented by inheritors to perform the model calculations.
(Inherited from Model.)
Public methodContains
Returns a value that indicates whether another UnivariateModel is nested within this instance.
(Inherited from Model.)
Public methodEquals
Determines whether the specified Object is equal to the current Object.
(Inherited from Object.)
Protected methodFinalize
Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGetAkaikeInformationCriterion
Returns the Akaike information criterion (AIC) value for the model.
Public methodGetBayesianInformationCriterion
Returns the Bayesian information criterion (BIC) value for the model.
Public methodGetHashCode
Serves as a hash function for a particular type.
(Inherited from Object.)
Public methodGetLogLikelihood
Gets the log-likelihood of the fitted model.
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 methodResetComputation
Clears all computed model parameters.
(Inherited from Model.)
Protected methodSetAnovaModelRow
Sets the data of a row in the model's AnovaTable.
Protected methodSetAnovaRow
Sets the data of a row in the model's AnovaTable.
Public methodToString
Returns a String that represents the current Object.
(Inherited from Object.)

Fields

  NameDescription
Public fieldStatic memberDefaultInterceptParameterName
Specifies the default name of the intercept parameter for regression models.

Properties

  NameDescription
Public propertyAdjustedRSquared
Gets the adjusted R Squared value for the regression.
Public propertyAnovaTable
Gets the AnovaTable that summarizes the results of this model.
Public propertyComputed
Gets a value that indicates whether the regression model has been computed.
(Inherited from Model.)
Public propertyDegreesOfFreedom
Gets the total degrees of freedom of the data.
Public propertyDependentVariable
Gets the dependent variable for the model.
Public propertyDependentVariables
Gets the collection of dependent variables associated with this model.
(Inherited from Model.)
Public propertyFStatistic
Gets the F statistic for the regression.
Public propertyIndependentVariables
Gets the collection of independent variables associated with this model.
(Inherited from Model.)
Public propertyParameters
Gets the collection of parameters associated with this model.
Public propertyPValue
Gets the probability corresponding to the F statistic for the regression.
Public propertyResidualSumOfSquares
Gets the sum of squares of the residuals of the model.
Public propertyRSquared
Gets the R Squared value for the regression.
Public propertyStandardError
Gets the standard error of the regression.

See Also

UnivariateModel Class
Extreme.Statistics Namespace

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