Represents a parameter in a statistical model.

Namespace: Extreme.Statistics
Assembly: Extreme.Numerics (Extreme.Numerics)

Syntax

Visual Basic (Declaration)
Public Class Parameter
C#
public class Parameter
C++
public ref class Parameter

Methods

IconTypeDescription
Equals(Object)
Determines whether the specified Object is equal to the current Object.
Finalize()
Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
GetConfidenceInterval(Double)
Gets the confidence interval for the parameter at the specified confidence level.
GetHashCode()
Serves as a hash function for a particular type.
GetTTest()
Returns a OneSampleTTest object that can be used to perform further analysis on the parameter.
GetType()
Gets the Type of the current instance.
MemberwiseClone()
Creates a shallow copy of the current Object.
ToString()
Returns a string representation of this instance.

Properties

IconTypeDescription
Name
Gets or sets the name of the parameter.
PValue
Gets the probability that the parameter is not zero.
StandardError
Gets the standard error of the parameter.
Statistic
Gets the value of the t-statistic for this parameter.
Value
Gets the estimated value of the parameter.
Variable
Gets the independent Variable this Parameter corresponds to.

Remarks

Use the Parameter class to obtain more information about a parameter of a GeneralLinearModel.

The Parameter class defines properties, including Statistic and PValue, that give an indication of the importance of the contribution of the corresponding variable to the model. Confidence intervals for the parameter can be obtained using the GetConfidenceInterval(Double) method. Further information can be obtained through the OneSampleTTest returned by the GetTTest() method.

Parameter objects cannot be created directly. They are created by the statistical model and exposed through the model's Parameters collection.

Inheritance Hierarchy

System.Object
  Extreme.Statistics.Parameter