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 |
|---|
AbstractMultipleHypothesisComparison()
Default constructor
|
| Modifier and Type | Method and Description |
|---|---|
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.
|
cloneequals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitclonepublic AbstractMultipleHypothesisComparison()
public StatisticType evaluateNullHypotheses(java.util.Collection<? extends TreatmentData> data)
MultipleHypothesisComparisonevaluateNullHypotheses in interface MultipleHypothesisComparison<TreatmentData>data - Data from each treatment to considerpublic abstract StatisticType evaluateNullHypotheses(java.util.Collection<? extends TreatmentData> data, double uncompensatedAlpha)
MultipleHypothesisComparisonevaluateNullHypotheses 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]