Runs Test<T> Class
Definition
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23
public sealed class RunsTest<T> : OneSampleTest<T>
- Inheritance
- Object → HypothesisTest → OneSampleTest<T> → RunsTest<T>
Type Parameters
- T
- The element type of the sample.
Remarks
Use the RunsTest<T> class to test whether the elements of a sample are randomly distributed. Specifically, the test counts the number of sequences ("runs") of values that are larger or smaller than a specific value, and compares it to the expected number of runs for a random sequence.
For example, the residuals of a regression calculation should be randomly distributed around zero. If the fitted line or curve is not a good model for the data, then the residuals will tend to show long runs of positive or negative values. The runs test can detect this pattern.
The distribution of the number of runs is approximately normal. For small sample sizes (less than 50) a continuity correction is applied.
The runs test is sometimes called the Wald-Wolfowitz test.
Constructors
Runs | Constructs a new runs test for a categorical variable. |
Runs | Constructs a new runs test for a numerical variable. |
Runs | Constructs a new runs test for a numerical variable and a specific cut point. |
Properties
Distribution |
Gets the probability distribution used in the hypothesis test.
(Inherited from HypothesisTest) |
Hypothesis |
Gets or sets whether the test is one or two-tailed.
(Inherited from HypothesisTest) |
Name |
Gets the name of the hypothesis test.
(Overrides HypothesisTest.Name) |
PValue |
Gets the probability that the test statistic would take on the calculated value under the alternate hypothesis.
(Inherited from HypothesisTest) |
Runs | Gets the number of runs. |
Runs | Gets the expected number of runs. |
Sample |
Gets or sets the variable the test is to be applied to.
(Inherited from OneSampleTest<T>) |
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
Equals | Determines whether the specified object is equal to the current object. (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) |
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 OneSampleTest<T>) |
ToString | Returns a string that represents the current object. (Inherited from HypothesisTest) |