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: 7.4

Syntax

C++

Copy

public class GlobalCurveFitAnova

Public Class GlobalCurveFitAnova

public ref class GlobalCurveFitAnova

type GlobalCurveFitAnova =  class end

The GlobalCurveFitAnova type exposes the following members.

Constructors

	Name	Description
	GlobalCurveFitAnova	Constructs a GlobalCurveFitAnova instance for the given datasets fit.

Top

Properties

	Name	Description
	AdjustedRsquared	Gets the adjusted coefficient of determination.
	DegreesOfFreedom	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.
	ErrorDegreesOfFreedom	/// 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.
	Fstatistic	Gets the overall F-statistic for the model.
	FStatisticPValue	Gets the p-value for the F-statistic.
	GlobalResidualSumOfSquares	Gets the global residual sum of squares. This residual sum of squares over all datasets.
	MeanSquareErrorRegression	Gets the mean squared residual.
	MeanSquareErrorResidual	Gets the mean squared for the regression.
	ModelDegreesOfFreedom	Gets the number of degrees of freedom for the model.
	NumberOfDataSets	Gets the number of datasets used in the fit.
	NumberOfPoints	Gets the total number of points used in the fit. This is the sum of the numbers of points in each dataset.
	Parameters	Gets the array of estimated parameter statistics.
	RegressionSumOfSquares	Gets the regression sum of squares.
	ResidualSumOfSquares	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.
	Rsquared	Gets the coefficient of determination.
	TotalDegreesOfFreedom	Gets the total degrees of freedom. This is the sum of the model degrees of freedom and the error degrees of freedom.
	TotalSumOfSquares	Gets and sets the total sum of squares.

Top

Methods

	Name	Description
	Parameter(Int32, Int32)	Gets fitted parameter statistics for a specific parameter.
	Parameter(String, Int32)	Gets fitted parameter statistics for a specific parameter.

Top

Reference

CenterSpace.NMath.Core Namespace