IMSL C# Numerical Library

LinearRegression.CaseStatistics Members

LinearRegression.CaseStatistics overview

Public Instance Properties

ConfidenceInterval Returns the Confidence Interval on the mean for an observation.
ConLevelMean Sets the confidence level for two-sided interval estimates on the mean, in percent.
ConLevelPred Sets the confidence level for two-sided prediction intervals, in percent.
CooksDistance Returns Cook's Distance for an observation.
DFFITS Returns DFFITS for an observation.
EffectsObsolete. Sets the effect option.
JackknifeResidual Returns the Jackknife Residual for an observation.
Leverage Returns the Leverage for an observation.
ObservedResponse Returns the observed response for an observation.
PredictedResponse Returns the predicted response for an observation.
PredictionInterval Returns the Prediction Interval for an observation.
Residual Returns the Residual for an observation.
StandardizedResidual Returns the Standardized Residual for an observation.
Statistics Returns the case statistics for an observation.

Public Instance Methods

Equals (inherited from Object) Determines whether the specified Object is equal to the current Object.
GetHashCode (inherited from Object) Serves as a hash function for a particular type, suitable for use in hashing algorithms and data structures like a hash table.
GetType (inherited from Object) Gets the Type of the current instance.
ToString (inherited from Object) Returns a String that represents the current Object.

Protected Instance Methods

Finalize (inherited from Object) Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
MemberwiseClone (inherited from Object) Creates a shallow copy of the current Object.

See Also

LinearRegression.CaseStatistics Class | Imsl.Stat Namespace | Example