Grubbs Test Class
Definition
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.0.3
public sealed class GrubbsTest : OneSampleTest
- Inheritance
- Object → HypothesisTest → OneSampleTest<Double> → OneSampleTest → GrubbsTest
Remarks
Use the GrubbsTest class to test whether the value with greatest deviation from the mean in a sample is an outlier.
The test has two-sided and one-sided versions. In the one-sided version, the null hypothesis is that the smallest (one-tailed lower) or largest (one-tailed upper) value in the sample is not an outlier. In the two-sided version, the null hypothesis is that neither the smallest or the largest value are outliers.
This test assumes that the sample is drawn from a normal distribution. It can only test for a single outlier. If you suspect there is more than one outlier, the GeneralizedEsdTest is the test of choice.
Constructors
Grubbs | Constructs a new Grubbs test for a single outlier. |
Grubbs | Constructs a new Grubbs test for a single outlier. |
Grubbs | Constructs a new Grubbs test for a single outlier. |
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) |
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) |
Get | 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) |
Get | 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) |