Quick |
The QuickQuadraticRegression type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | Add | Adds a data point to the regression. |
| AddRange | Adds a sequence of data points to the regression. |
| AdjustedRSquared | Gets the adjusted coefficient of determination (adjusted R²). |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
 | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object) |
| GetA0 | Gets the intercept parameter (A0) of the quadratic regression. |
| GetA0Error | Gets the standard error of parameter A0. |
| GetA1 | Gets the linear parameter (A1) of the quadratic regression. |
| GetA1Error | Gets the standard error of parameter A1. |
| GetA2 | Gets the quadratic parameter (A2) of the quadratic regression. |
| GetA2Error | Gets the standard error of parameter A2. |
| GetConfidenceBand(IEnumerableDouble, Double) | Gets the confidence band of the prediction for multiple x values. |
| GetConfidenceBand(Double, Double, MatrixDouble) | Gets the confidence band of the prediction at the specified x value. |
| GetCovarianceMatrix | Gets the covariance matrix of the fit parameters. |
| GetDeterminant | Gets the determinant of the normal-equation system. |
| GetHashCode | Serves as the default hash function. (Inherited from Object) |
| GetType | Gets the Type of the current instance. (Inherited from Object) |
| GetYErrorOfX | Gets the mean prediction error of y at the specified x value. |
| GetYOfX | Evaluates the fitted quadratic at the specified x value. |
| GetYOfXFunction | Creates a function that evaluates the fitted quadratic y(x). |
| GetYVarianceOfX | Gets the prediction variance of y at the specified x value. |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) |
| RSquared | Gets the coefficient of determination (R²). |
| Sigma | Gets the estimated standard deviation of the regression. |
| SigmaSquared | Gets the estimated variance (squared standard deviation) of the regression. |
| SumChiSquared | Gets the residual sum of squares. |
| ToString | Returns a string that represents the current object. (Inherited from Object) |
See Also