程序包 org.hipparchus.distribution.continuous

类 NormalDistributionTest

java.lang.Object
org.hipparchus.distribution.continuous.RealDistributionAbstractTest
org.hipparchus.distribution.continuous.NormalDistributionTest
public class NormalDistributionTest extends RealDistributionAbstractTest
NormalDistribution的测试用例。

  • 字段详细资料

    • defaultTolerance

      protected double defaultTolerance

  • 构造器详细资料

    • NormalDistributionTest

      public NormalDistributionTest()

  • 方法详细资料

    • makeDistribution

      public NormalDistribution makeDistribution()
      创建默认的实数分布实例以用于测试。
      指定者:
      makeDistribution 在类中 RealDistributionAbstractTest

    • makeCumulativeTestPoints

      public double[] makeCumulativeTestPoints()
      创建默认的累积概率分布测试输入值
      指定者:
      makeCumulativeTestPoints 在类中 RealDistributionAbstractTest

    • makeCumulativeTestValues

      public double[] makeCumulativeTestValues()
      创建默认的累积概率密度测试预期值
      指定者:
      makeCumulativeTestValues 在类中 RealDistributionAbstractTest

    • makeDensityTestValues

      public double[] makeDensityTestValues()
      创建默认的概率密度测试预期值
      指定者:
      makeDensityTestValues 在类中 RealDistributionAbstractTest

    • setUp

      public void setUp()
      从类复制的说明: RealDistributionAbstractTest
      设置所有测试实例数据为默认值
      覆盖:
      setUp 在类中 RealDistributionAbstractTest

    • testQuantiles

      public void testQuantiles()

    • testInverseCumulativeProbabilityExtremes

      public void testInverseCumulativeProbabilityExtremes()

    • testCumulativeProbability

      public void testCumulativeProbability()

    • testGetMean

      public void testGetMean()

    • testGetStandardDeviation

      public void testGetStandardDeviation()

    • testPreconditions

      public void testPreconditions()

    • testDensity

      public void testDensity()

    • testExtremeValues

      public void testExtremeValues()
      检查极端值的顶部编码是否正确。验证了JIRA MATH-167、MATH-414的修复

    • testMath280

      public void testMath280()

    • testMoments

      public void testMoments()