 | Global |
The GlobalCurveFitAnova type exposes the following members.
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. |
See Also