Represents a parameter in a statistical model.
SystemObject Extreme.DataAnalysisParameterT Extreme.DataAnalysisTransformedParameterT
Namespace:
Extreme.DataAnalysis
Assembly:
Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
public class Parameter<T>
Public Class Parameter(Of T)
generic<typename T>
public ref class Parameter
type Parameter<'T> = class end
Type Parameters
- T
- The type of the value of the parameter.
The ParameterT type exposes the following members.
| Name | Description |
---|
 | Distribution |
Gets the distribution of the estimated value.
|
 | Name |
Gets or sets the name of the parameter.
|
 | PValue |
Gets the probability that the estimated value is not zero.
|
 | StandardError |
Gets the standard error of the estimated value.
|
 | Statistic |
Gets the value of the statistic for this estimated value.
|
 | Value |
Gets the estimated value.
|
 | Variable |
Gets the independent Variable this ParameterT corresponds to.
|
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| Name | Description |
---|
 | Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
  | Exp |
Returns an exponentially transformed parameter.
|
 | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) |
 | GetConfidenceInterval |
Gets the confidence interval for the estimated value at the specified confidence level.
|
 | GetHashCode | Serves as the default hash function. (Inherited from Object.) |
 | GetSignificanceTest |
Returns a hypothesis test for the significance of the parameter value.
|
 | GetTTest |
Returns a OneSampleTTest object that can be used to perform further
analysis on the parameter.
|
 | GetType | Gets the Type of the current instance. (Inherited from Object.) |
  | Log |
Returns a log transformed parameter.
|
 | MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
 | ToString |
Returns a string representation of this instance.
(Overrides ObjectToString.) |
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Use the ParameterT class to obtain more information
about a parameter of a statistical model.
The ParameterT 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.
ParameterT objects cannot be created directly. They are
created by the statistical model and exposed through the model's
Parameters collection.
Reference