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Packages that use gov.sandia.cognition.statistics.method  

gov.sandia.cognition.learning.algorithm.regression  Provides regression algorithms, such as Linear Regression. 
gov.sandia.cognition.learning.experiment  Provides experiments for validating the performance of learning algorithms. 
gov.sandia.cognition.learning.performance.categorization  Provides performance measures for categorizers. 
gov.sandia.cognition.statistics  Provides the inheritance hierarchy for general statistical methods and distributions. 
gov.sandia.cognition.statistics.bayesian  Provides algorithms for computing Bayesian estimates of parameters. 
gov.sandia.cognition.statistics.distribution  Provides statistical distributions. 
gov.sandia.cognition.statistics.method  Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods. 
Classes in gov.sandia.cognition.statistics.method used by gov.sandia.cognition.learning.algorithm.regression  

AbstractConfidenceStatistic
Abstract implementation of ConfidenceStatistic. 

ConfidenceStatistic
An interface that describes the result of a statistical confidence test. 
Classes in gov.sandia.cognition.statistics.method used by gov.sandia.cognition.learning.experiment  

ConfidenceStatistic
An interface that describes the result of a statistical confidence test. 

NullHypothesisEvaluator
Evaluates the probability that the nullhypothesis is correct. 
Classes in gov.sandia.cognition.statistics.method used by gov.sandia.cognition.learning.performance.categorization  

ConfidenceInterval
Contains a specification for a confidence interval, that is, the solution of Pr{ lowerBound <= x(centralValue) <= upperBound } >= confidence 
Classes in gov.sandia.cognition.statistics.method used by gov.sandia.cognition.statistics  

ConfidenceInterval
Contains a specification for a confidence interval, that is, the solution of Pr{ lowerBound <= x(centralValue) <= upperBound } >= confidence 
Classes in gov.sandia.cognition.statistics.method used by gov.sandia.cognition.statistics.bayesian  

ConfidenceInterval
Contains a specification for a confidence interval, that is, the solution of Pr{ lowerBound <= x(centralValue) <= upperBound } >= confidence 
Classes in gov.sandia.cognition.statistics.method used by gov.sandia.cognition.statistics.distribution  

TreeSetBinner
Implements a Binner that employs a TreeSet to define the
boundaries of a contiguous set of bins. 
Classes in gov.sandia.cognition.statistics.method used by gov.sandia.cognition.statistics.method  

AbstractConfidenceStatistic
Abstract implementation of ConfidenceStatistic. 

AbstractMultipleHypothesisComparison
Partial implementation of MultipleHypothesisComparison 

AbstractMultipleHypothesisComparison.Statistic
Partial implementation of MultipleHypothesisComparison.Statistic 

AbstractPairwiseMultipleHypothesisComparison
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. 

Binner
Defines the functionality for a class that assigns values to some sort of bin. 

BlockExperimentComparison
Implements a nullhypothesis multiplecomparison test from a blockdesign experiment. 

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 

ConfidenceIntervalEvaluator
Computes a confidence interval for a given dataset and confidence (power) level 

ConfidenceStatistic
An interface that describes the result of a statistical confidence test. 

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

ConvexReceiverOperatingCharacteristic
Computes the convex hull of the Receiver Operating Characteristic (ROC), which a mathematician might call a "concave down" function. 

DistributionParameterEstimator
A method of estimating the parameters of a distribution using an arbitrary CostFunction and FunctionMinimizer algorithm. 

DistributionParameterEstimator.DistributionWrapper
Maps the parameters of a Distribution and a CostFunction into a Vector/Double Evaluator. 

FieldConfidenceInterval
This class has methods that automatically compute confidence intervals for Double/double Fields in dataclasses. 

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 

KolmogorovSmirnovConfidence
Performs a KolmogorovSmirnov Confidence Test. 

KolmogorovSmirnovConfidence.Statistic
Computes the ConfidenceStatistic associated with a KS test 

MannWhitneyUConfidence.Statistic
Statistics from the MannWhitney Utest 

MarkovInequality
Implementation of the Markov Inequality hypothesis test. 

MaximumLikelihoodDistributionEstimator
Estimates the mostlikely distribution, and corresponding parameters, of that generated the given data from a predetermined collection of candidate parameteric distributions. 

MultipleComparisonExperiment
A multiple comparisons experiment that does a block comparison and then a posthoc test. 

MultipleComparisonExperiment.Statistic
Result of running the MultipleHypothesisComparison hypothesis test 

MultipleHypothesisComparison
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 

NemenyiConfidence
The Nemenyi test is the rankbased analogue of the Tukey multiplecomparison test. 

NemenyiConfidence.Statistic
Statistic from Nemenyi's multiple comparison test 

NullHypothesisEvaluator
Evaluates the probability that the nullhypothesis is correct. 

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.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 

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 


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