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GlobalCurveFitAnova Class

Class GlobalCurveFitAnova computes ANOVA style statistics for the least squares model fit that result from a global curve fit. Available statistics include the residual standard error, the coefficient of determination (R2 and "adjusted" R2), the F-statistic and p-value for the overall model, and degrees of freedom.
Inheritance Hierarchy
SystemObject
  CenterSpace.NMath.CoreGlobalCurveFitAnova

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

The GlobalCurveFitAnova type exposes the following members.

Constructors
  NameDescription
Public methodGlobalCurveFitAnova
Constructs a GlobalCurveFitAnova instance for the given datasets fit.
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Properties
  NameDescription
Public propertyAdjustedRsquared
Gets the adjusted coefficient of determination.
Public propertyDegreesOfFreedom
Gets the degrees of freedom
Remarks
The is the total number of points used in the fit minus the number of parameters. Note that if a parameter is not shared it is counted N times, where N is the number of datasets.
Public propertyErrorDegreesOfFreedom
///
Gets the number of degrees of freedom for the model error.
Remarks
This is equal to the number of observations minus the number of model parameters.
Public propertyFstatistic
Gets the overall F-statistic for the model.
Public propertyFStatisticPValue
Gets the p-value for the F-statistic.
Public propertyGlobalResidualSumOfSquares
Gets the global residual sum of squares. This residual sum of squares over all datasets.
Public propertyMeanSquareErrorRegression
Gets the mean squared residual.
Public propertyMeanSquareErrorResidual
Gets the mean squared for the regression.
Public propertyModelDegreesOfFreedom
Gets the number of degrees of freedom for the model.
Public propertyNumberOfDataSets
Gets the number of datasets used in the fit.
Public propertyNumberOfPoints
Gets the total number of points used in the fit. This is the sum of the numbers of points in each dataset.
Public propertyParameters
Gets the array of estimated parameter statistics.
Public propertyRegressionSumOfSquares
Gets the regression sum of squares.
Public propertyResidualSumOfSquares
Gets the residual sum of squares for each dataset, and the global residual sum of squares. If there are N datasets, the returned array has length N+1. Elements 0,1,...,N-1 contain the residual sum of squares for the corresponding dataset and element N contains the global residual sum of squares.
Public propertyRsquared
Gets the coefficient of determination.
Public propertyTotalDegreesOfFreedom
Gets the total degrees of freedom. This is the sum of the model degrees of freedom and the error degrees of freedom.
Public propertyTotalSumOfSquares
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Methods
  NameDescription
Public methodParameter(Int32, Int32)
Gets fitted parameter statistics for a specific parameter.
Public methodParameter(String, Int32)
Gets fitted parameter statistics for a specific parameter.
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See Also