Multi Sample Test<T> Class
Definition
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23
public abstract class MultiSampleTest<T> : HypothesisTest
- Inheritance
- Object → HypothesisTest → MultiSampleTest<T>
- Derived
Type Parameters
- T
- The element type of the samples.
Remarks
Use the MultiSampleTest<T> class as a base class for a statistical test based on multiple samples. This class adds the Samples property, which is of type IDataFrame, and can be used to retrieve, add, and remove the collection of samples.
This is an abstract base class and cannot be instantiated directly.
Note to inheritors: You must override CalculateStatistic(). You must also set the Distribution property, either in the constructor or in your CalculateStatistic() implementation. If applicable, you should override GetConfidenceInterval().
Constructors
Multi | Constructs a new MultiSampleTest<T> object. |
Multi | Constructs a new MultiSampleTest<T> object. |
Multi | Constructs a new MultiSampleTest<T> object. |
Multi | Constructs a new MultiSampleTest<T> object. |
Properties
Distribution |
Gets the probability distribution used in the hypothesis test.
(Inherited from HypothesisTest) |
Grouping | Gets the grouping that divides Sample into groups. |
Hypothesis |
Gets or sets whether the test is one or two-tailed.
(Inherited from HypothesisTest) |
Name |
Gets the name of the hypothesis test.
(Inherited from HypothesisTest) |
PValue |
Gets the probability that the test statistic would take on the calculated value under the alternate hypothesis.
(Inherited from HypothesisTest) |
Sample | Gets the vector that contains the sample data. |
Samples | Gets the collection of samples for the test. |
Significance |
Gets the significance level used to test the null hypothesis.
(Inherited from HypothesisTest) |
Statistic |
Gets the value of the test statistic.
(Inherited from HypothesisTest) |
Methods
Calculate |
Evaluates the test statistic.
(Inherited from HypothesisTest) |
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) |
Get |
Returns the confidence interval for the test parameter for the default confidence level.
(Inherited from HypothesisTest) |
Get |
Returns the confidence interval for the test parameter for the specified confidence level.
(Inherited from HypothesisTest) |
GetHashCode | Serves as the default hash function. (Inherited from Object) |
Get |
Gets the lower critical value for the hypothesis test's current significance level.
(Inherited from HypothesisTest) |
Get |
Gets the lower critical value for the hypothesis test at the specified significance level.
(Inherited from HypothesisTest) |
Get |
Gets the probability that the test statistic would take on the calculated value under the specified alternate hypothesis.
(Inherited from HypothesisTest) |
GetType | Gets the Type of the current instance. (Inherited from Object) |
Get |
Gets the upper critical value for the test statistic at the hypothesis test's current significance level.
(Inherited from HypothesisTest) |
Get |
Gets the upper critical value for the test statistic at the specified significance level.
(Inherited from HypothesisTest) |
MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) |
Reject() |
Returns whether the null hypothesis is rejected
using the default significance level.
(Inherited from HypothesisTest) |
Reject( |
Returns whether the null hypothesis is rejected using the specified significance level.
(Inherited from HypothesisTest) |
Summarize() |
Returns a string containing a human-readable summary of the object.
(Inherited from HypothesisTest) |
Summarize( |
Returns a string containing a human-readable summary of the object
using the specified options.
(Inherited from HypothesisTest) |
ToString | Returns a string that represents the current object. (Inherited from HypothesisTest) |