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WeightedRegressionAnova Class

Class for performing an Analysis Of Variance on a weighted linear least squares fit.
Inheritance Hierarchy
SystemObject
  CenterSpace.NMath.CoreWeightedRegressionAnova

Namespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.4
Syntax
public class WeightedRegressionAnova

The WeightedRegressionAnova type exposes the following members.

Constructors
 NameDescription
Public methodWeightedRegressionAnova Construct a linear model ANOVA from a weighted least squares fit.
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Properties
 NameDescription
Public propertyAdjustedRsquared Gets the adjusted coefficient of determination.
Public propertyErrorDegreesOfFreedom Gets the number of degrees of freedom for the model error.
Public propertyFStatistic Gets the overall F statistic for the model.
Public propertyFStatisticPValue Gets the p-value for the F statistic.
Public propertyMeanSquaredRegression Gets the mean squared for the regression.
Public propertyMeanSquaredResidual Gets the mean squared residual.
Public propertyModelDegreesOfFreedom Gets the number of degrees of freedom for the model.
Public propertyParameterEstimates Gets an array of parameter objects which may be used to perform hypothesis tests on individual parameters in the model.
Public propertyParameterEstimatesAvailable Check if parameter estimats are available through the ParameterEstimates property. Parameter variance is undefined in the regression matrix is rank deficient. In this case the parameter estimates property will throw an exception if accessed.
Public propertyRegressionSumOfSquares Gets the regression sum of squares.
Public propertyResidualSumOfSquares Gets the residual sum of squares.
Public propertyRSquared Gets the coefficient of determination.
Public propertyWeightedResiduals Returns the vector of weighted residuals.
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See Also