程序包 org.hipparchus.stat.descriptive.moment

类 SemiVarianceTest

java.lang.Object

org.hipparchus.stat.descriptive.UnivariateStatisticAbstractTest

org.hipparchus.stat.descriptive.moment.SemiVarianceTest

       public class SemiVarianceTest extends UnivariateStatisticAbstractTest
      

SemiVariance类的测试用例。

字段概要

从类继承的字段 org.hipparchus.stat.descriptive.UnivariateStatisticAbstractTest

fourthMoment, geoMean, identicalWeightsArray, kurt, max, mean, median, min, percentile5, percentile95, product, secondMoment, skew, std, sum, sumLog, sumSq, testArray, testWeightsArray, thirdMoment, tolerance, unitWeightsArray, var, weightedMean, weightedProduct, weightedStd, weightedSum, weightedVar

构造器概要

构造器

构造器	说明
SemiVarianceTest()

方法概要

修饰符和类型	方法	说明
double	expectedValue()
SemiVariance	getUnivariateStatistic()
void	setup()
void	testInsufficientData()
void	testNonMeanCutoffs()
void	testNoVariance()
void	testPopulation()
void	testSample()
void	testSingleDown()
void	testSingleUp()
void	testVarianceDecompMeanCutoff()	检查下限加上上限半方差与均值之和是否等于方差。
void	testVarianceDecompNonMeanCutoff()	检查上限和下限半方差与截断值之间的和是否等于完整值集合相对于截断值的平方偏差之和除以df = 长度 - 1（假设进行了偏差校正）。

从类继承的方法 org.hipparchus.stat.descriptive.UnivariateStatisticAbstractTest

getTolerance, testCopy, testCopyData, testEvaluateArraySegment, testEvaluateArraySegmentWeighted, testEvaluation, testWeightedConsistency

从类继承的方法 java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

构造器详细资料

SemiVarianceTest

             public SemiVarianceTest()
            

方法详细资料

setup

             public void setup()
            

getUnivariateStatistic

             public SemiVariance getUnivariateStatistic()
            

指定者:

getUnivariateStatistic 在类中 UnivariateStatisticAbstractTest

expectedValue

             public double expectedValue()
            

指定者:

expectedValue 在类中 UnivariateStatisticAbstractTest

testInsufficientData

             public void testInsufficientData()
            

testSingleDown

             public void testSingleDown()
            

testSingleUp

             public void testSingleUp()
            

testSample

             public void testSample()
            

testPopulation

             public void testPopulation()
            

testNonMeanCutoffs

             public void testNonMeanCutoffs()
            

testVarianceDecompMeanCutoff

             public void testVarianceDecompMeanCutoff()
            

检查下限加上上限半方差与均值之和是否等于方差。

testVarianceDecompNonMeanCutoff

             public void testVarianceDecompNonMeanCutoff()
            

检查上限和下限半方差与截断值之间的和是否等于完整值集合相对于截断值的平方偏差之和除以df = 长度 - 1（假设进行了偏差校正）。

testNoVariance

             public void testNoVariance()