public class Diagnostics
extends java.lang.Object
implements java.io.Serializable
DFFITS is a diagnostic meant to show how influential a point is in a statistical regression. It is defined as the change ("DFFIT"), in the predicted value for a point, obtained when that point is left out of the regression, "Studentized" by dividing by the estimated standard deviation of the fit at that point.
Cook's distance is a commonly used estimate of the influence of a data point. Cook's distance can be used in several ways: to indicate data points that are particularly worth checking for validity; to indicate regions of the design space where it would be good to be able obtain more data points.
Hadi proposed a measure of influence of the i-th observation based on the fact that influential observations are outliers in either the response variable or in the predictors, or both.
| Modifier and Type | Field and Description |
|---|---|
ImmutableVector |
cookDistances
Cook distance
|
ImmutableVector |
DFFITS
DFFITS, Welsch and Kuh Measure
|
ImmutableVector |
Hadi
Hadi's influence measure
|
public final ImmutableVector DFFITS
public final ImmutableVector cookDistances
public final ImmutableVector Hadi