 | Double |
The DoubleBisquareWeightingFunction type exposes the following members.
Fields| Name | Description | |
|---|---|---|
 | adjFactor_ |
Adjustment factor used in computing the adjusted residuals. It is given
by the formula:
1.0 / sqrt(1 - h). Where,
h is the vector of leverage values. The leverage values are the
main diagonal of the hat matrix H = A((A'A)^-1)A'.
(Inherited from DoubleLeastSqWeightingFunction) |
| cols_ |
Number of columns in the matrix A in the least squares problem.
Ax = b.
(Inherited from DoubleLeastSqWeightingFunction) |
  | DEFAULT_TUNING_FACTOR | Default value for the bisquare weighting tuning factor. If the response is normally distributed, the default tuning factor gives coefficient estimates that are approximately 95% as statistically efficient as the ordinary least squares estimates. |
| rows_ |
Number of rows in the matrix A in the least squares problem.
Ax = b.
(Inherited from DoubleLeastSqWeightingFunction) |
| tuningConstant_ |
Tuning constant used in the weighting function. Implementing classes
should provide this value.
(Inherited from DoubleLeastSqWeightingFunction) |
See Also