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BhapkarTest Class |
Bhapkar test of homogeneity for contingency tables.
Inheritance HierarchySystemObject
Accord.Statistics.TestingHypothesisTestChiSquareDistribution
Accord.Statistics.TestingChiSquareTest
Accord.Statistics.TestingBhapkarTest
Accord.Statistics.TestingHypothesisTestChiSquareDistribution
Accord.Statistics.TestingChiSquareTest
Accord.Statistics.TestingBhapkarTest
Namespace: Accord.Statistics.Testing
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
SyntaxThe BhapkarTest type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | BhapkarTest |
Creates a new Bhapkar test.
|
Properties| Name | Description | |
|---|---|---|
 | Covariance |
Gets the covariance matrix S
used in the test calculations.
|
| CriticalValue |
Gets the critical value for the current significance level.
(Inherited from HypothesisTestTDistribution.) |
| DegreesOfFreedom |
Gets the degrees of freedom for the Chi-Square distribution.
(Inherited from ChiSquareTest.) |
| Delta |
Gets the delta vector d used
in the test calculations.
|
| Precision |
Gets the inverse covariance matrix
S^-1 used in the calculations.
|
| PValue |
Gets the P-value 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.) |
| 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.) |
Methods| Name | Description | |
|---|---|---|
 | Compute |
Computes the Chi-Square Test.
(Inherited from ChiSquareTest.) |
| 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.) |
| 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 |
Called whenever the test significance level changes.
(Inherited from HypothesisTestTDistribution.) |
| PValueToStatistic |
Converts a given p-value to a test statistic.
(Inherited from ChiSquareTest.) |
| StatisticToPValue |
Converts a given test statistic to a p-value.
(Inherited from ChiSquareTest.) |
| ToString |
Converts the numeric P-Value of this test to its equivalent string representation.
(Inherited from HypothesisTestTDistribution.) |
| ToString(String, IFormatProvider) |
Converts the numeric P-Value of this test to its equivalent string representation.
(Inherited from HypothesisTestTDistribution.) |
Extension Methods| 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.) |
Remarks
The Bhapkar test is a more powerful alternative to the
Stuart-Maxwell test.
This is a Chi-square kind of test.
References:
- Bhapkar, V.P. (1966). A note on the equivalence of two test criteria for hypotheses in categorical data. Journal of the American Statistical Association, 61, 228-235.
See Also