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Description
Interface Summary  

Binner<ValueType,BinnedType>  Defines the functionality for a class that assigns values to some sort of bin. 
BlockExperimentComparison<DataType>  Implements a nullhypothesis multiplecomparison test from a blockdesign experiment. 
ConfidenceIntervalEvaluator<DataType>  Computes a confidence interval for a given dataset and confidence (power) level 
ConfidenceStatistic  An interface that describes the result of a statistical confidence test. 
MultipleHypothesisComparison<TreatmentData>  Describes the functionality of an algorithm for accepting or rejecting multiple null hypothesis at the same time. 
MultipleHypothesisComparison.Statistic  Statistic associated with the multiple hypothesis comparison 
NullHypothesisEvaluator<DataType>  Evaluates the probability that the nullhypothesis is correct. 
Class Summary  

AbstractConfidenceStatistic  Abstract implementation of ConfidenceStatistic. 
AbstractMultipleHypothesisComparison<TreatmentData,StatisticType extends MultipleHypothesisComparison.Statistic>  Partial implementation of MultipleHypothesisComparison 
AbstractMultipleHypothesisComparison.Statistic  Partial implementation of MultipleHypothesisComparison.Statistic 
AbstractPairwiseMultipleHypothesisComparison<StatisticType extends AbstractPairwiseMultipleHypothesisComparison.Statistic>  A multiplehypothesis comparison algorithm based on making multiple pairwise nullhypothesis comparisons. 
AbstractPairwiseMultipleHypothesisComparison.Statistic  Result from a pairwise multiplecomparison statistic. 
AdjustedPValueStatistic  A multiplecomparison statistic derived from a single adjusted pvalue. 
AnalysisOfVarianceOneWay  Analysis of Variance singlefactor nullhypothesis testing procedure, usually called "1way ANOVA". 
AnalysisOfVarianceOneWay.Statistic  Returns the confidence statistic for an ANOVA test 
BernoulliConfidence  Computes the Bernoulli confidence interval. 
BonferroniCorrection  The Bonferroni correction takes a pairwise nullhypothesis test and generalizes it to multiple comparisons by adjusting the requisite pvalue to find significance as alpha / NumComparisons. 
ChebyshevInequality  Computes the Chebyshev Inequality for the given level of confidence. 
ChiSquareConfidence  This is the chisquare goodnessoffit test. 
ChiSquareConfidence.Statistic  Confidence Statistic for a chisquare test 
ConfidenceInterval  Contains a specification for a confidence interval, that is, the solution of Pr{ lowerBound <= x(centralValue) <= upperBound } >= confidence 
ConvexReceiverOperatingCharacteristic  Computes the convex hull of the Receiver Operating Characteristic (ROC), which a mathematician might call a "concave down" function. 
DistributionParameterEstimator<DataType,DistributionType extends ClosedFormDistribution<? extends DataType>>  A method of estimating the parameters of a distribution using an arbitrary CostFunction and FunctionMinimizer algorithm. 
FieldConfidenceInterval  This class has methods that automatically compute confidence intervals for Double/double Fields in dataclasses. 
FisherSignConfidence  This is an implementation of the Fisher Sign Test, which is a robust nonparameteric test to determine if two groups have a different mean. 
FisherSignConfidence.Statistic  Contains the parameters from the Sign Test nullhypothesis evaluation 
FriedmanConfidence  The Friedman test determines if the rankings associated with various treatments are equal. 
FriedmanConfidence.Statistic  Confidence statistic associated with the Friedman test using the tighter Fstatistic. 
GaussianConfidence  This test is sometimes called the "Z test" Defines a range of values that the statistic can take, as well as the confidence that the statistic is between the lower and upper bounds. 
GaussianConfidence.Statistic  Confidence statistics for a Gaussian distribution 
HolmCorrection  The Holm correction is a uniformly tighter bound than the Bonferroni/Sidak correction by first sorting the pairwide pvalues and then adjusting the pvalues by the number of remaining hypotheses. 
HolmCorrection.Statistic  Test statistic from the Shaffer static multiplecomparison test 
ImportanceSampling  Importance sampling is a technique for estimating properties of a target distribution, while only having samples generated from an "importance" distribution rather than the target distribution. 
InverseTransformSampling  Inverse transform sampling is a method by which one can sample from an arbitrary distribution using only a uniform randomnumber generator and the ability to empirically invert the CDF. 
KolmogorovSmirnovConfidence  Performs a KolmogorovSmirnov Confidence Test. 
KolmogorovSmirnovConfidence.Statistic  Computes the ConfidenceStatistic associated with a KS test 
MannWhitneyUConfidence  Performs a MannWhitney Utest on the given data (usually simply called a "Utest", sometimes called a WilcoxonMannWhitney Utest, or Wilcoxon ranksum test). 
MannWhitneyUConfidence.Statistic  Statistics from the MannWhitney Utest 
MarkovInequality  Implementation of the Markov Inequality hypothesis test. 
MaximumLikelihoodDistributionEstimator<DataType>  Estimates the mostlikely distribution, and corresponding parameters, of that generated the given data from a predetermined collection of candidate parameteric distributions. 
MaximumLikelihoodDistributionEstimator.DistributionEstimationTask<DataType>  Estimates the optimal parameters of a single distribution 
MultipleComparisonExperiment  A multiple comparisons experiment that does a block comparison and then a posthoc test. 
MultipleComparisonExperiment.Statistic  Result of running the MultipleHypothesisComparison hypothesis test 
NemenyiConfidence  The Nemenyi test is the rankbased analogue of the Tukey multiplecomparison test. 
NemenyiConfidence.Statistic  Statistic from Nemenyi's multiple comparison test 
ReceiverOperatingCharacteristic  Class that describes a Receiver Operating Characteristic (usually called an "ROC Curve"). 
ReceiverOperatingCharacteristic.DataPoint  Contains information about a datapoint on an ROC curve 
ReceiverOperatingCharacteristic.DataPoint.Sorter  Sorts DataPoints in ascending order according to their falsePositiveRate (xaxis) 
ReceiverOperatingCharacteristic.Statistic  Contains useful statistics derived from a ROC curve 
ShafferStaticCorrection  The Shaffer Static Correction uses logical relationships to tighten up the Bonferroni/Sidak corrections when performing pairwise multiple hypothesis comparisons. 
ShafferStaticCorrection.Statistic  Test statistic from the Shaffer static multiplecomparison test 
SidakCorrection  The Sidak correction takes a pairwise nullhypothesis test and generalizes it to multiple comparisons by adjusting the requisite pvalue to find significance as alpha / NumComparisons. 
StudentTConfidence  This class implements Student's ttests for different uses. 
StudentTConfidence.Statistic  Confidence statistics for a Studentt test 
StudentTConfidence.Summary  An implementation of the Summarizer interface for creating a
ConfidenceInterval 
TreeSetBinner<ValueType extends Comparable<? super ValueType>>  Implements a Binner that employs a TreeSet to define the
boundaries of a contiguous set of bins. 
TukeyKramerConfidence  TukeyKramer test is the multiplecomparison generalization of the unpaired Student's ttest when conducting multiple comparisons. 
TukeyKramerConfidence.Statistic  Statistic from TukeyKramer's multiple comparison test 
WilcoxonSignedRankConfidence  This is a Wilcoxon SignedRank Sum test, which performs a pairwise test to determine if two datasets are different. 
WilcoxonSignedRankConfidence.Statistic  ConfidenceStatistics associated with a Wilcoxon test 
Annotation Types Summary  

ConfidenceTestAssumptions  Describes the assumptions and other information of a statistical confidence test. 
Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods.


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