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WeightedRegressionAnova Class

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

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

The WeightedRegressionAnova type exposes the following members.

Public methodWeightedRegressionAnova
Construct a linear model ANOVA from a weighted least squares fit.
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.
See Also