Hierarchy For All Packages

Package Hierarchies:

• org.hipparchus.stat,
• org.hipparchus.stat.correlation,
• org.hipparchus.stat.descriptive,
• org.hipparchus.stat.descriptive.moment,
• org.hipparchus.stat.descriptive.rank,
• org.hipparchus.stat.descriptive.summary,
• org.hipparchus.stat.descriptive.vector,
• org.hipparchus.stat.fitting,
• org.hipparchus.stat.inference,
• org.hipparchus.stat.interval,
• org.hipparchus.stat.projection,
• org.hipparchus.stat.ranking,
• org.hipparchus.stat.regression

Class Hierarchy

• java.lang.Object
  • org.hipparchus.stat.regression.AbstractMultipleLinearRegression (implements org.hipparchus.stat.regression.MultipleLinearRegression)
    • org.hipparchus.stat.regression.GLSMultipleLinearRegression
    • org.hipparchus.stat.regression.OLSMultipleLinearRegression
  • org.hipparchus.distribution.continuous.AbstractRealDistribution (implements org.hipparchus.distribution.RealDistribution, java.io.Serializable)
    • org.hipparchus.stat.fitting.EmpiricalDistribution
  • org.hipparchus.stat.descriptive.AbstractStorelessUnivariateStatistic (implements org.hipparchus.stat.descriptive.StorelessUnivariateStatistic)
    • org.hipparchus.stat.descriptive.moment.GeometricMean (implements org.hipparchus.stat.descriptive.AggregatableStatistic<T>, java.io.Serializable)
    • org.hipparchus.stat.descriptive.moment.Kurtosis (implements java.io.Serializable)
    • org.hipparchus.stat.descriptive.rank.Max (implements org.hipparchus.stat.descriptive.AggregatableStatistic<T>, java.io.Serializable)
    • org.hipparchus.stat.descriptive.moment.Mean (implements org.hipparchus.stat.descriptive.AggregatableStatistic<T>, java.io.Serializable, org.hipparchus.stat.descriptive.WeightedEvaluation)
    • org.hipparchus.stat.descriptive.rank.Min (implements org.hipparchus.stat.descriptive.AggregatableStatistic<T>, java.io.Serializable)
    • org.hipparchus.stat.descriptive.summary.Product (implements org.hipparchus.stat.descriptive.AggregatableStatistic<T>, java.io.Serializable, org.hipparchus.stat.descriptive.WeightedEvaluation)
    • org.hipparchus.stat.descriptive.rank.PSquarePercentile (implements java.io.Serializable, org.hipparchus.stat.descriptive.StorelessUnivariateStatistic)
    • org.hipparchus.stat.descriptive.rank.RandomPercentile (implements org.hipparchus.stat.descriptive.AggregatableStatistic<T>, java.io.Serializable, org.hipparchus.stat.descriptive.StorelessUnivariateStatistic)
    • org.hipparchus.stat.descriptive.moment.SecondMoment (implements org.hipparchus.stat.descriptive.AggregatableStatistic<T>, java.io.Serializable)
    • org.hipparchus.stat.descriptive.moment.Skewness (implements java.io.Serializable)
    • org.hipparchus.stat.descriptive.moment.StandardDeviation (implements java.io.Serializable)
    • org.hipparchus.stat.descriptive.summary.Sum (implements org.hipparchus.stat.descriptive.AggregatableStatistic<T>, java.io.Serializable, org.hipparchus.stat.descriptive.WeightedEvaluation)
    • org.hipparchus.stat.descriptive.summary.SumOfLogs (implements org.hipparchus.stat.descriptive.AggregatableStatistic<T>, java.io.Serializable)
    • org.hipparchus.stat.descriptive.summary.SumOfSquares (implements org.hipparchus.stat.descriptive.AggregatableStatistic<T>, java.io.Serializable)
    • org.hipparchus.stat.descriptive.moment.Variance (implements org.hipparchus.stat.descriptive.AggregatableStatistic<T>, java.io.Serializable, org.hipparchus.stat.descriptive.WeightedEvaluation)
  • org.hipparchus.stat.descriptive.AbstractUnivariateStatistic (implements org.hipparchus.stat.descriptive.UnivariateStatistic)
    • org.hipparchus.stat.descriptive.rank.Median (implements java.io.Serializable)
    • org.hipparchus.stat.descriptive.rank.Percentile (implements java.io.Serializable)
    • org.hipparchus.stat.descriptive.moment.SemiVariance (implements java.io.Serializable)
  • org.hipparchus.stat.interval.BinomialProportion
  • org.hipparchus.stat.inference.BinomialTest
  • org.hipparchus.stat.inference.ChiSquareTest
  • org.hipparchus.stat.interval.ConfidenceInterval
  • org.hipparchus.stat.correlation.Covariance
    • org.hipparchus.stat.correlation.StorelessCovariance
  • org.hipparchus.stat.descriptive.DescriptiveStatistics (implements java.util.function.DoubleConsumer, java.io.Serializable, org.hipparchus.stat.descriptive.StatisticalSummary)
  • org.hipparchus.stat.Frequency<T> (implements java.io.Serializable)
    • org.hipparchus.stat.LongFrequency
  • org.hipparchus.stat.inference.GTest
  • org.hipparchus.stat.inference.InferenceTestUtils
  • org.hipparchus.stat.correlation.KendallsCorrelation
  • org.hipparchus.stat.inference.KolmogorovSmirnovTest
  • org.hipparchus.stat.inference.MannWhitneyUTest
  • org.hipparchus.stat.regression.MillerUpdatingRegression (implements org.hipparchus.stat.regression.UpdatingMultipleLinearRegression)
  • org.hipparchus.stat.fitting.MultivariateNormalMixtureExpectationMaximization
  • org.hipparchus.stat.descriptive.MultivariateSummaryStatistics (implements java.io.Serializable, org.hipparchus.stat.descriptive.StatisticalMultivariateSummary)
  • org.hipparchus.stat.ranking.NaturalRanking (implements org.hipparchus.stat.ranking.RankingAlgorithm)
  • org.hipparchus.stat.inference.OneWayAnova
  • org.hipparchus.stat.projection.PCA
  • org.hipparchus.stat.correlation.PearsonsCorrelation
  • org.hipparchus.stat.regression.RegressionResults (implements java.io.Serializable)
  • org.hipparchus.stat.regression.SimpleRegression (implements java.io.Serializable, org.hipparchus.stat.regression.UpdatingMultipleLinearRegression)
  • org.hipparchus.stat.correlation.SpearmansCorrelation
  • org.hipparchus.stat.descriptive.StatisticalSummaryValues (implements java.io.Serializable, org.hipparchus.stat.descriptive.StatisticalSummary)
  • org.hipparchus.stat.StatUtils
  • org.hipparchus.stat.descriptive.StreamingStatistics (implements org.hipparchus.stat.descriptive.AggregatableStatistic<T>, java.util.function.DoubleConsumer, java.io.Serializable, org.hipparchus.stat.descriptive.StatisticalSummary)
  • org.hipparchus.stat.descriptive.StreamingStatistics.StreamingStatisticsBuilder
  • org.hipparchus.stat.inference.TTest
  • org.hipparchus.stat.descriptive.vector.VectorialCovariance (implements java.io.Serializable)
  • org.hipparchus.stat.descriptive.vector.VectorialStorelessStatistic (implements java.io.Serializable, org.hipparchus.stat.descriptive.StorelessMultivariateStatistic)
  • org.hipparchus.stat.inference.WilcoxonSignedRankTest

Interface Hierarchy

• org.hipparchus.stat.descriptive.AggregatableStatistic<T>
• java.util.function.DoubleConsumer
  • org.hipparchus.stat.descriptive.StorelessUnivariateStatistic (also extends org.hipparchus.stat.descriptive.UnivariateStatistic)
• org.hipparchus.util.MathArrays.Function
  • org.hipparchus.stat.descriptive.UnivariateStatistic
    • org.hipparchus.stat.descriptive.StorelessUnivariateStatistic (also extends java.util.function.DoubleConsumer)
• org.hipparchus.stat.regression.MultipleLinearRegression
• org.hipparchus.stat.descriptive.rank.PSquarePercentile.PSquareMarkers
• org.hipparchus.stat.ranking.RankingAlgorithm
• org.hipparchus.stat.descriptive.StatisticalMultivariateSummary
• org.hipparchus.stat.descriptive.StatisticalSummary
• org.hipparchus.stat.descriptive.StorelessMultivariateStatistic
• org.hipparchus.stat.regression.UpdatingMultipleLinearRegression
• org.hipparchus.stat.descriptive.WeightedEvaluation

Enum Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.lang.constant.Constable, java.io.Serializable)
    • org.hipparchus.stat.inference.AlternativeHypothesis
    • org.hipparchus.stat.LocalizedStatFormats (implements org.hipparchus.exception.Localizable)
    • org.hipparchus.stat.ranking.NaNStrategy
    • org.hipparchus.stat.descriptive.rank.Percentile.EstimationType
    • org.hipparchus.stat.descriptive.moment.SemiVariance.Direction
    • org.hipparchus.stat.ranking.TiesStrategy