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MOEA Framework 2.5 API Specification |
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java.lang.Objectorg.moeaframework.util.statistics.IntervalRatioStatisticalTest
org.moeaframework.util.statistics.OneWayANOVA
public class OneWayANOVA
The Single-Factor Between-Subjects Analysis of Variance determines if (at least) two out of K >= 2 populations have differing means.
Assumptions:
References:
| Field Summary |
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| Fields inherited from class org.moeaframework.util.statistics.IntervalRatioStatisticalTest |
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data, numberOfGroups |
| Constructor Summary | |
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OneWayANOVA(int numberOfGroups)
Constructs a one-way ANOVA statistical test with the specified number of groups. |
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| Method Summary | |
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void |
add(double value,
int group)
Adds a new observation with the specified value and group. |
void |
addAll(double[] values,
int group)
Adds several new observations to the specified group. |
boolean |
test(double alpha)
Returns true if the null hypothesis is rejected; false
otherwise. |
| Methods inherited from class org.moeaframework.util.statistics.IntervalRatioStatisticalTest |
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categorize, getNumberOfGroups |
| Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
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public OneWayANOVA(int numberOfGroups)
numberOfGroups - the number of groups being tested| Method Detail |
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public void add(double value,
int group)
IntervalRatioStatisticalTest
add in class IntervalRatioStatisticalTestvalue - the value of the new observationgroup - the group to which the new observation belongs
public void addAll(double[] values,
int group)
IntervalRatioStatisticalTest
addAll in class IntervalRatioStatisticalTestvalues - the values of the new observationsgroup - the group to which the new observations belongpublic boolean test(double alpha)
true if the null hypothesis is rejected; false
otherwise. The meaning of the null hypothesis and alternative hypothesis
depends on the specific test.
The prespecified level of confidence, alpha, can be used for either one-tailed or two-tailed (directional or nondirectional) distributions, depending on the specific test. Some tests may only support specific values for alpha.
alpha - the prespecified level of confidence
true if the null hypothesis is rejected; false
otherwiseTestUtils.oneWayAnovaTest(java.util.Collection, double)
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