Hierarchy For Package com.imsl.stat

Package Hierarchies:

• All Packages

Class Hierarchy

• java.lang.Object
  • com.imsl.stat.ANCOVA (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.ANOVA (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.ANOVAFactorial (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.ARAutoUnivariate (implements java.io.Serializable)
  • com.imsl.stat.ARMA (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.ARMAEstimateMissing (implements java.io.Serializable)
  • com.imsl.stat.ARMAMaxLikelihood (implements java.io.Serializable)
  • com.imsl.stat.ARMAOutlierIdentification (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.ARSeasonalFit (implements java.io.Serializable)
  • com.imsl.stat.AutoARIMA (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.AutoCorrelation (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.CategoricalGenLinModel
  • com.imsl.stat.Cdf
  • com.imsl.stat.ChiSquaredTest
  • com.imsl.stat.ClusterHierarchical (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.ClusterKMeans (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.ClusterKNN (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.ContingencyTable (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.Covariances (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.CrossCorrelation (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.DBSCAN (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.DBSCAN.DBSCANParams (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.Difference (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.DiscriminantAnalysis
  • com.imsl.stat.Dissimilarities (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.EmpiricalQuantiles (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.ExtendedGARCH (implements java.lang.Cloneable, java.io.Serializable)
    • com.imsl.stat.EGARCH
  • com.imsl.stat.FactorAnalysis (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.FaureSequence (implements java.lang.Cloneable, com.imsl.stat.RandomSequence, java.io.Serializable)
  • java.util.logging.Formatter
    • com.imsl.stat.ARAutoUnivariate.Formatter
  • com.imsl.stat.GammaDistribution (implements com.imsl.stat.ProbabilityDistribution, java.io.Serializable)
  • com.imsl.stat.GARCH (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.HoltWintersExponentialSmoothing (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.InvCdf
  • com.imsl.stat.InverseCdf (implements java.io.Serializable)
  • com.imsl.stat.KalmanFilter (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.KaplanMeierECDF (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.KaplanMeierEstimates (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.KolmogorovOneSample (implements java.io.Serializable)
  • com.imsl.stat.KolmogorovTwoSample (implements java.io.Serializable)
  • com.imsl.stat.LackOfFit
  • com.imsl.stat.LifeTables (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.LinearRegression (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.LinearRegression.CaseStatistics
  • com.imsl.stat.LinearRegression.CoefficientTTests (implements java.io.Serializable)
  • com.imsl.stat.LogNormalDistribution (implements com.imsl.stat.ProbabilityDistribution, java.io.Serializable)
  • com.imsl.stat.MersenneTwister (implements java.lang.Cloneable, com.imsl.stat.Random.BaseGenerator, java.io.Serializable)
  • com.imsl.stat.MersenneTwister64 (implements java.lang.Cloneable, com.imsl.stat.Random.BaseGenerator, java.io.Serializable)
  • com.imsl.stat.MultiCrossCorrelation (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.MultidimensionalScaling (implements java.io.Serializable)
  • com.imsl.stat.MultipleComparisons (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.NonlinearRegression
  • com.imsl.stat.NormalDistribution (implements com.imsl.stat.ProbabilityDistribution, java.io.Serializable)
  • com.imsl.stat.NormalityTest (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.NormOneSample (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.NormTwoSample (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.PartialCovariances (implements java.io.Serializable)
  • com.imsl.stat.Pdf
  • com.imsl.stat.PoissonDistribution (implements com.imsl.stat.ProbabilityDistribution, java.io.Serializable)
  • com.imsl.stat.PooledCovariances (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.ProportionalHazards (implements java.lang.Cloneable, java.io.Serializable)
  • java.util.Random (implements java.util.random.RandomGenerator, java.io.Serializable)
    • com.imsl.stat.Random (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.RandomSamples
  • com.imsl.stat.Ranks
  • com.imsl.stat.RegressorsForGLM (implements java.io.Serializable)
  • com.imsl.stat.SelectionRegression (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.SelectionRegression.Statistics (implements java.io.Serializable)
  • com.imsl.stat.SignTest (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.Sort
  • com.imsl.stat.StepwiseRegression (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.StepwiseRegression.CoefficientTTests (implements java.io.Serializable)
  • com.imsl.stat.Summary (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.TableMultiWay (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.TableMultiWay.BalancedTable
  • com.imsl.stat.TableMultiWay.UnbalancedTable
  • com.imsl.stat.TableOneWay (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.TableTwoWay (implements java.lang.Cloneable, java.io.Serializable)
  • java.lang.Throwable (implements java.io.Serializable)
    • java.lang.Exception
      • com.imsl.IMSLException
        • com.imsl.stat.ARAutoUnivariate.TriangularMatrixSingularException
        • com.imsl.stat.ARMA.IllConditionedException
        • com.imsl.stat.ARMA.IncreaseErrRelException
        • com.imsl.stat.ARMA.MatrixSingularException
        • com.imsl.stat.ARMA.NewInitialGuessException
        • com.imsl.stat.ARMA.ResidualsTooLargeException
        • com.imsl.stat.ARMA.TooManyCallsException
        • com.imsl.stat.ARMA.TooManyFcnEvalException
        • com.imsl.stat.ARMA.TooManyITNException
        • com.imsl.stat.ARMA.TooManyJacobianEvalException
        • com.imsl.stat.ARMAMaxLikelihood.NonInvertibleException
        • com.imsl.stat.ARMAMaxLikelihood.NonStationaryException
        • com.imsl.stat.AutoARIMA.NoAcceptableModelFoundException
        • com.imsl.stat.AutoCorrelation.NonPosVariancesException
        • com.imsl.stat.CategoricalGenLinModel.ClassificationVariableException
        • com.imsl.stat.CategoricalGenLinModel.ClassificationVariableLimitException
        • com.imsl.stat.CategoricalGenLinModel.ClassificationVariableValueException
        • com.imsl.stat.CategoricalGenLinModel.DeleteObservationsException
        • com.imsl.stat.CategoricalGenLinModel.RankDeficientException
        • com.imsl.stat.ChiSquaredTest.DidNotConvergeException
        • com.imsl.stat.ClusterKMeans.ClusterNoPointsException
        • com.imsl.stat.ClusterKMeans.NoConvergenceException
        • com.imsl.stat.ClusterKMeans.NonnegativeFreqException
        • com.imsl.stat.ClusterKMeans.NonnegativeWeightException
        • com.imsl.stat.Covariances.DiffObsDeletedException
        • com.imsl.stat.Covariances.MoreObsDelThanEnteredException
        • com.imsl.stat.Covariances.NonnegativeFreqException
        • com.imsl.stat.Covariances.NonnegativeWeightException
        • com.imsl.stat.Covariances.TooManyObsDeletedException
        • com.imsl.stat.CrossCorrelation.NonPosVariancesException
        • com.imsl.stat.DiscriminantAnalysis.CovarianceSingularException
        • com.imsl.stat.DiscriminantAnalysis.EmptyGroupException
        • com.imsl.stat.DiscriminantAnalysis.SumOfWeightsNegException
        • com.imsl.stat.Dissimilarities.NoPositiveVarianceException
        • com.imsl.stat.Dissimilarities.ScaleFactorZeroException
        • com.imsl.stat.Dissimilarities.ZeroNormException
        • com.imsl.stat.EmpiricalQuantiles.ScaleFactorZeroException
        • com.imsl.stat.FactorAnalysis.BadVarianceException
        • com.imsl.stat.FactorAnalysis.EigenvalueException
        • com.imsl.stat.FactorAnalysis.NonPositiveEigenvalueException
        • com.imsl.stat.FactorAnalysis.NotPositiveDefiniteException
        • com.imsl.stat.FactorAnalysis.NotPositiveSemiDefiniteException
        • com.imsl.stat.FactorAnalysis.NotSemiDefiniteException
        • com.imsl.stat.FactorAnalysis.RankException
        • com.imsl.stat.FactorAnalysis.SingularException
        • com.imsl.stat.GARCH.ConstrInconsistentException
        • com.imsl.stat.GARCH.EqConstrInconsistentException
        • com.imsl.stat.GARCH.NoVectorXException
        • com.imsl.stat.GARCH.TooManyIterationsException
        • com.imsl.stat.GARCH.VarsDeterminedException
        • com.imsl.stat.InverseCdf.DidNotConvergeException
        • com.imsl.stat.MultiCrossCorrelation.NonPosVariancesException
        • com.imsl.stat.MultidimensionalScaling.IllDefinedHessianException
        • com.imsl.stat.MultidimensionalScaling.NotEnoughPositiveEigenvaluesException
        • com.imsl.stat.NonlinearRegression.NegativeFreqException
        • com.imsl.stat.NonlinearRegression.NegativeWeightException
        • com.imsl.stat.NonlinearRegression.TooManyIterationsException
        • com.imsl.stat.NormalityTest.NoVariationInputException
        • com.imsl.stat.PartialCovariances.InvalidMatrixException
        • com.imsl.stat.PartialCovariances.InvalidPartialCorrelationException
        • com.imsl.stat.Pdf.AltSeriesAccuracyLossException
        • com.imsl.stat.ProportionalHazards.ClassificationVariableLimitException
        • com.imsl.stat.SelectionRegression.NoVariablesException
        • com.imsl.stat.StepwiseRegression.CyclingIsOccurringException
        • com.imsl.stat.StepwiseRegression.NoVariablesEnteredException
      • java.lang.RuntimeException
        • com.imsl.IMSLRuntimeException
          • com.imsl.stat.ChiSquaredTest.NoObservationsException
          • com.imsl.stat.ChiSquaredTest.NotCDFException
  • com.imsl.stat.TimeSeries (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.TimeSeriesOperations (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.UserBasisRegression
  • com.imsl.stat.VectorAutoregression (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.WelchsTTest (implements java.lang.Cloneable, java.io.Serializable)
  • com.imsl.stat.WilcoxonRankSum (implements java.lang.Cloneable, java.io.Serializable)

Interface Hierarchy

• com.imsl.stat.CdfFunction
• com.imsl.stat.DBSCAN.Function
• com.imsl.stat.Distribution
  • com.imsl.stat.ProbabilityDistribution (also extends java.io.Serializable)
• com.imsl.stat.ExtendedGARCH.zDistribution
• com.imsl.stat.NonlinearRegression.Function
  • com.imsl.stat.NonlinearRegression.Derivative
• com.imsl.stat.Random.BaseGenerator
• com.imsl.stat.RandomSequence
• com.imsl.stat.RegressionBasis
• java.io.Serializable
  • com.imsl.stat.ProbabilityDistribution (also extends com.imsl.stat.Distribution)
• com.imsl.stat.TimeSeriesOperations.Function

Enum Class Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.lang.constant.Constable, java.io.Serializable)
    • com.imsl.stat.ExtendedGARCH.Solver
    • com.imsl.stat.FactorAnalysis.ScoreMethod
    • com.imsl.stat.TimeSeriesOperations.CombineMethod
    • com.imsl.stat.TimeSeriesOperations.MergeRule
    • com.imsl.stat.WelchsTTest.Hypothesis