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LogisticRegressionParameterParameterCalc Class

Class LogisticRegressionParameter tests statistical hypotheses about estimated parameters in linear regressions computed by class LogisticRegression.
Inheritance Hierarchy
SystemObject
  CenterSpace.NMath.CoreLogisticRegressionParameterParameterCalc

Namespace:  CenterSpace.NMath.Core
Assembly:  NMath (in NMath.dll) Version: 7.3
Syntax
[SerializableAttribute]
public class LogisticRegressionParameter<ParameterCalc> : ICloneable
where ParameterCalc : new(), ILogisticRegressionCalc

Type Parameters

ParameterCalc

[Missing <typeparam name="ParameterCalc"/> documentation for "T:CenterSpace.NMath.Core.LogisticRegressionParameter`1"]

The LogisticRegressionParameterParameterCalc type exposes the following members.

Constructors
Properties
  NameDescription
Public propertyParameterIndex
Gets the index of this parameter in the linear regresssion.
Public propertyStandardError
Gets the standard error of this parameter.
Public propertyValue
Gets the value of this parameter.
Public propertyWaldChiSqStatisticPValue
Gets the p-value for a t-test with the null hypothesis that this parameter is equal to the given test value versus the alternative hypothesis that it is not.
Public propertyWaldChiSquareStatistic
Gets the Wald chi square statistic. This is defined as the parameter value squared divided by the parameter variance.
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Methods
  NameDescription
Public methodClone
Creates a deep copy of this LogisticRegressionParameter.
Public methodConfidenceInterval
Returns the 1 - alpha confidence interval for this parameter.
Public methodToString
Returns a formatted string representation of this parameter.
(Overrides ObjectToString.)
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Fields
  NameDescription
Protected fieldparameterValue_
Parameter value field.
Protected fieldparameterVariance_
Parameter variance field.
Protected fieldparamIndex_
Parameter index field.
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See Also