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See:
Description
Interface Summary | |
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Bootstrap.Estimator | Specifies the api for classes that calculate an estimate for a statistic from a sample. |
Bootstrap.UnitTest.Distribution | Specifies the api for classes that model a probability distribution. |
Class Summary | |
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Bins | Introduction Used to sort data into distinct bins (also known as intervals or cells). |
Bins.Intervals | Specifies how a given set of intervals are laid out. |
Bins.UnitTest | See the Overview page of the project's javadocs for a general description of this unit test class. |
Bootstrap | Performs statistical bootstrap calculations. |
Bootstrap.Estimate | Holds a complete (point and interval) estimate for some Bootstrap.Estimator . |
Bootstrap.EstimatorMean | Calculates a point estimate for the population's arithmetic mean from sample. |
Bootstrap.EstimatorMedian | Calculates a point estimate for the population's median from sample. |
Bootstrap.EstimatorSd | Calculates a point estimate for the population's standard deviation from sample. |
Bootstrap.UnitTest | See the Overview page of the project's javadocs for a general description of this unit test class. |
Bootstrap.UnitTest.CauchyStandard | Implements the standard Cauchy distribution (i.e. x0 = 0, gamma = 1). |
Bootstrap.UnitTest.CiResult | Accumulates the results of running many individual Bootstrap.UnitTest.CiTask s. |
Bootstrap.UnitTest.CiResult.Metrics | This class is NOT multithread safe: it expects its enclosing class to guard access to it. |
Bootstrap.UnitTest.CiTask | This class is NOT multithread safe: it expects to only be touched by a single thread. |
Bootstrap.UnitTest.CoverageResult | Accumulates the results of running many individual Bootstrap.UnitTest.CoverageTask s. |
Bootstrap.UnitTest.CoverageResult.Metrics | This class is NOT multithread safe: it expects its enclosing class to guard access to it. |
Bootstrap.UnitTest.CoverageTask | This class is NOT multithread safe: it expects to only be touched by a single thread. |
Bootstrap.UnitTest.DistributionAbstract | Implements some common functionality used by concrete subclasses. |
Bootstrap.UnitTest.ExponentialStandard | Implements the standard exponential distribution (i.e. lambda = 1). |
Bootstrap.UnitTest.GaussianStandard | Implements the standard gaussian distribution (i.e. mean = 0, sd = 1). |
DistributionFit | Stores all information related to fitting of data samples to some statistical distribution. |
FormatUtil | Provides static utility methods to help in formatting/scaling of quantities. |
FormatUtil.UnitTest | See the Overview page of the project's javadocs for a general description of this unit test class. |
GaussianFit | Subclass of DistributionFit that is customized for the fitting of a Gaussian distribution to data
as performed by Math2.gaussianFit . |
Lfsr | Implements a linear feedback shift register (LFSR). |
Lfsr.UnitTest | See the Overview page of the project's javadocs for a general description of this unit test class. |
Math2 | This class offers additional static mathematical methods beyond the ones offered in Math . |
Math2.UnitTest | See the Overview page of the project's javadocs for a general description of this unit test class. |
Prefix | This class models the state corresponding to a prefix for a scientific unit of measurement. |
Prefix.UnitTest | See the Overview page of the project's javadocs for a general description of this unit test class. |
Samples | Simply stores double values via the add method. |
Samples.UnitTest | See the Overview page of the project's javadocs for a general description of this unit test class. |
StatsOverTime | Stores statistics over time of an arbitrary data source. |
StatsOverTime.Stats | |
StatsOverTime.UnitTest | See the Overview page of the project's javadocs for a general description of this unit test class. |
Unit | Models a unit of measurement. |
Unit.UnitTest | See the Overview page of the project's javadocs for a general description of this unit test class. |
Provides classes and interfaces for mathematical and scientific programming.
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