Uses of Package
gov.sandia.cognition.statistics.method

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 null-hypothesis 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 multiple-hypothesis comparison algorithm based on making multiple pair-wise null-hypothesis comparisons.
AbstractPairwiseMultipleHypothesisComparison.Statistic
          Result from a pairwise multiple-comparison statistic.
AdjustedPValueStatistic
          A multiple-comparison statistic derived from a single adjusted p-value.
AnalysisOfVarianceOneWay
          Analysis of Variance single-factor null-hypothesis testing procedure, usually called "1-way 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 null-hypothesis multiple-comparison test from a block-design experiment.
BonferroniCorrection
          The Bonferroni correction takes a pair-wise null-hypothesis test and generalizes it to multiple comparisons by adjusting the requisite p-value to find significance as alpha / NumComparisons.
ChebyshevInequality
          Computes the Chebyshev Inequality for the given level of confidence.
ChiSquareConfidence
          This is the chi-square goodness-of-fit test.
ChiSquareConfidence.Statistic
          Confidence Statistic for a chi-square 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 null-hypothesis 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 F-statistic.
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 pair-wide p-values and then adjusting the p-values by the number of remaining hypotheses.
HolmCorrection.Statistic
          Test statistic from the Shaffer static multiple-comparison test
KolmogorovSmirnovConfidence
          Performs a Kolmogorov-Smirnov Confidence Test.
KolmogorovSmirnovConfidence.Statistic
          Computes the ConfidenceStatistic associated with a K-S test
MannWhitneyUConfidence.Statistic
          Statistics from the Mann-Whitney U-test
MarkovInequality
          Implementation of the Markov Inequality hypothesis test.
MaximumLikelihoodDistributionEstimator
          Estimates the most-likely distribution, and corresponding parameters, of that generated the given data from a pre-determined collection of candidate parameteric distributions.
MultipleComparisonExperiment
          A multiple comparisons experiment that does a block comparison and then a post-hoc 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 rank-based analogue of the Tukey multiple-comparison test.
NemenyiConfidence.Statistic
          Statistic from Nemenyi's multiple comparison test
NullHypothesisEvaluator
          Evaluates the probability that the null-hypothesis 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 multiple-comparison test
SidakCorrection
          The Sidak correction takes a pair-wise null-hypothesis test and generalizes it to multiple comparisons by adjusting the requisite p-value to find significance as alpha / NumComparisons.
StudentTConfidence
          This class implements Student's t-tests for different uses.
StudentTConfidence.Statistic
          Confidence statistics for a Student-t test
TukeyKramerConfidence
          Tukey-Kramer test is the multiple-comparison generalization of the unpaired Student's t-test when conducting multiple comparisons.
TukeyKramerConfidence.Statistic
          Statistic from Tukey-Kramer's multiple comparison test
WilcoxonSignedRankConfidence
          This is a Wilcoxon Signed-Rank Sum test, which performs a pair-wise test to determine if two datasets are different.
WilcoxonSignedRankConfidence.Statistic
          ConfidenceStatistics associated with a Wilcoxon test