TreatmentData
- Data associated with each treatment, such as Double or Collection of DoubleStatisticType
- Type of statistic returned by the testpublic abstract class AbstractMultipleHypothesisComparison<TreatmentData,StatisticType extends MultipleHypothesisComparison.Statistic> extends AbstractCloneableSerializable implements MultipleHypothesisComparison<TreatmentData>
Modifier and Type | Class and Description |
---|---|
static class |
AbstractMultipleHypothesisComparison.Statistic
Partial implementation of MultipleHypothesisComparison.Statistic
|
DEFAULT_UNCOMPENSATED_ALPHA
Constructor and Description |
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AbstractMultipleHypothesisComparison()
Default constructor
|
Modifier and Type | Method and Description |
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StatisticType |
evaluateNullHypotheses(java.util.Collection<? extends TreatmentData> data)
Evaluates the null hypotheses associated with the given collection
of data.
|
abstract StatisticType |
evaluateNullHypotheses(java.util.Collection<? extends TreatmentData> data,
double uncompensatedAlpha)
Evaluates the null hypotheses associated with the given collection
of data.
|
clone
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
clone
public AbstractMultipleHypothesisComparison()
public StatisticType evaluateNullHypotheses(java.util.Collection<? extends TreatmentData> data)
MultipleHypothesisComparison
evaluateNullHypotheses
in interface MultipleHypothesisComparison<TreatmentData>
data
- Data from each treatment to considerpublic abstract StatisticType evaluateNullHypotheses(java.util.Collection<? extends TreatmentData> data, double uncompensatedAlpha)
MultipleHypothesisComparison
evaluateNullHypotheses
in interface MultipleHypothesisComparison<TreatmentData>
data
- Data from each treatment to consideruncompensatedAlpha
- Uncompensated alpha (p-value threshold) for the multiple comparison
test, must be [0,1]