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java.lang.Objectcom.numericalmethod.suanshu.stats.regression.linear.ols.Diagnostics
public class Diagnostics
This class collects some diagnostics measures for the goodness of fit for an Ordinary Least Square linear regression model.
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.
| Field Summary | |
|---|---|
ImmutableVector |
cookDistances
Cook distance |
ImmutableVector |
DFFITS
DFFITS, Welsch and Kuh Measure |
ImmutableVector |
Hadi
Hadi's influence measure |
| Method Summary |
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| Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
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public final ImmutableVector DFFITS
public final ImmutableVector cookDistances
public final ImmutableVector Hadi
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SuanShu, a Java numerical and statistical library | |||||||
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