See: Description
Interface  Description 

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  Description 

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 java.lang.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 Type  Description 

ConfidenceTestAssumptions 
Describes the assumptions and other information of a statistical confidence
test.
