TwoReceiverOperatingCurveTest Class 
Namespace: Accord.Statistics.Testing
The TwoReceiverOperatingCurveTest type exposes the following members.
Name  Description  

TwoReceiverOperatingCurveTest 
Creates a new test for two ROC curves.

Name  Description  

Analysis 
Gets the power analysis for the test, if available.
(Inherited from TwoSampleZTest.)  
Confidence 
Gets the 95% confidence interval for the
ObservedDifference statistic.
(Inherited from TwoSampleZTest.)  
CriticalValue 
Gets the critical value for the current significance level.
(Inherited from HypothesisTestTDistribution.)  
Curve1 
First ReceiverOperating Characteristic curve.
 
Curve2 
First ReceiverOperating Characteristic curve.
 
EstimatedValue1 
Gets the estimated value for the first sample.
(Inherited from TwoSampleZTest.)  
EstimatedValue2 
Gets the estimated value for the second sample.
(Inherited from TwoSampleZTest.)  
Hypothesis 
Gets the alternative hypothesis under test. If the test is
Significant, the null hypothesis can be rejected
in favor of this alternative hypothesis.
(Inherited from TwoSampleZTest.)  
HypothesizedDifference 
Gets the hypothesized difference between the two estimated values.
(Inherited from TwoSampleZTest.)  
ObservedDifference 
Gets the actual difference between the two estimated values.
(Inherited from TwoSampleZTest.)  
OverallVariance 
Gets the summed Kappa variance
for the two contingency tables.
 
PValue 
Gets the Pvalue associated with this test.
(Inherited from HypothesisTestTDistribution.)  
Significant 
Gets whether the null hypothesis should be rejected.
(Inherited from HypothesisTestTDistribution.)  
Size 
Gets the significance level for the
test. Default value is 0.05 (5%).
(Inherited from HypothesisTestTDistribution.)  
StandardError 
Gets the standard error for the difference.
(Inherited from TwoSampleZTest.)  
Statistic 
Gets the test statistic.
(Inherited from HypothesisTestTDistribution.)  
StatisticDistribution 
Gets the distribution associated
with the test statistic.
(Inherited from HypothesisTestTDistribution.)  
Tail 
Gets the test type.
(Inherited from HypothesisTestTDistribution.)  
Variance1 
Gets the variance for the first Kappa value.
 
Variance2 
Gets the variance for the second Kappa value.

Name  Description  

Compute(Double, TwoSampleHypothesis) 
Computes the Z test.
(Inherited from TwoSampleZTest.)  
Compute(Double, Double, Double, TwoSampleHypothesis) 
Computes the Z test.
(Inherited from TwoSampleZTest.)  
Compute(Double, Double, Double, Double, Double, TwoSampleHypothesis) 
Computes the Z test.
(Inherited from TwoSampleZTest.)  
Equals  Determines whether the specified object is equal to the current object. (Inherited from Object.)  
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 a confidence interval for the ObservedDifference
statistic within the given confidence level percentage.
(Inherited from TwoSampleZTest.)  
GetHashCode  Serves as the default hash function. (Inherited from Object.)  
GetType  Gets the Type of the current instance. (Inherited from Object.)  
MemberwiseClone  Creates a shallow copy of the current Object. (Inherited from Object.)  
OnSizeChanged  Update event. (Inherited from TwoSampleZTest.)  
PValueToStatistic 
Converts a given pvalue to a test statistic.
(Inherited from TwoSampleZTest.)  
StatisticToPValue 
Converts a given test statistic to a pvalue.
(Inherited from TwoSampleZTest.)  
ToString 
Converts the numeric PValue of this test to its equivalent string representation.
(Inherited from HypothesisTestTDistribution.)  
ToString(String, IFormatProvider) 
Converts the numeric PValue of this test to its equivalent string representation.
(Inherited from HypothesisTestTDistribution.) 
Name  Description  

HasMethod 
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)  
IsEqual 
Compares two objects for equality, performing an elementwise
comparison if the elements are vectors or matrices.
(Defined by Matrix.)  
To(Type)  Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)  
ToT  Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) 