Uses of Class
gov.sandia.cognition.statistics.method.ConfidenceInterval

Packages that use ConfidenceInterval

Package	Description
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.method	Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods.

Uses of ConfidenceInterval in gov.sandia.cognition.learning.performance.categorization

Methods in gov.sandia.cognition.learning.performance.categorization that return ConfidenceInterval

Modifier and Type	Method and Description
ConfidenceInterval	DefaultBinaryConfusionMatrixConfidenceInterval.getFalseNegativesRate() Getter for falseNegativesRate
ConfidenceInterval	DefaultBinaryConfusionMatrixConfidenceInterval.getFalsePositivesRate() Getter for falsePositivesRate
ConfidenceInterval	DefaultBinaryConfusionMatrixConfidenceInterval.getTrueNegativesRate() Getter for trueNegativesRate
ConfidenceInterval	DefaultBinaryConfusionMatrixConfidenceInterval.getTruePositivesRate() Getter for truePositivesRate

Methods in gov.sandia.cognition.learning.performance.categorization with parameters of type ConfidenceInterval

Modifier and Type	Method and Description
protected void	DefaultBinaryConfusionMatrixConfidenceInterval.setFalseNegativesRate(ConfidenceInterval falseNegativesRate) Setter for falseNegativesRate
protected void	DefaultBinaryConfusionMatrixConfidenceInterval.setFalsePositivesRate(ConfidenceInterval falsePositivesRate) Setter for falsePositivesRate
protected void	DefaultBinaryConfusionMatrixConfidenceInterval.setTrueNegativesRate(ConfidenceInterval trueNegativesRate) Setter for trueNegativesRate
protected void	DefaultBinaryConfusionMatrixConfidenceInterval.setTruePositivesRate(ConfidenceInterval truePositivesRate) Setter for truePositivesRate

Constructors in gov.sandia.cognition.learning.performance.categorization with parameters of type ConfidenceInterval

Constructor and Description
DefaultBinaryConfusionMatrixConfidenceInterval(double confidence, ConfidenceInterval falsePositivesRate, ConfidenceInterval falseNegativesRate, ConfidenceInterval truePositivesRate, ConfidenceInterval trueNegativesRate) Creates a new instance of ConfusionMatrixConfidenceInterval

Uses of ConfidenceInterval in gov.sandia.cognition.statistics

Methods in gov.sandia.cognition.statistics that return ConfidenceInterval

Modifier and Type	Method and Description
ConfidenceInterval	UnivariateRandomVariable.getSamplingError(double confidence) Gets the 95% confidence interval estimated sampling error associated with this empirical random variable.

Uses of ConfidenceInterval in gov.sandia.cognition.statistics.bayesian

Subclasses of ConfidenceInterval in gov.sandia.cognition.statistics.bayesian

Modifier and Type	Class and Description
class	BayesianCredibleInterval A Bayesian credible interval defines a bound that a scalar parameter is within the given interval.

Uses of ConfidenceInterval in gov.sandia.cognition.statistics.method

Subclasses of ConfidenceInterval in gov.sandia.cognition.statistics.method

Modifier and Type	Class and Description
class	FieldConfidenceInterval This class has methods that automatically compute confidence intervals for Double/double Fields in dataclasses.

Methods in gov.sandia.cognition.statistics.method that return ConfidenceInterval

Modifier and Type	Method and Description
ConfidenceInterval	GaussianConfidence.computeConfidenceInterval(java.util.Collection<? extends java.lang.Number> data, double confidence)
ConfidenceInterval	StudentTConfidence.computeConfidenceInterval(java.util.Collection<? extends java.lang.Number> data, double confidence)
ConfidenceInterval	BernoulliConfidence.computeConfidenceInterval(java.util.Collection<java.lang.Boolean> data, double confidence) Computes the ConfidenceInterval for the Bernoulli parameter based on the given data and the desired level of confidence.
ConfidenceInterval	ChebyshevInequality.computeConfidenceInterval(java.util.Collection<java.lang.Double> data, double confidence) Computes the Chebyshev Inequality for the given level of confidence.
ConfidenceInterval	MarkovInequality.computeConfidenceInterval(java.util.Collection<java.lang.Double> data, double confidence) Computes the Markov Inequality Bound for the given data at the given confidence level.
ConfidenceInterval	ConfidenceIntervalEvaluator.computeConfidenceInterval(DataType data, double confidence) Computes a confidence interval for a given dataset and confidence (power) level
ConfidenceInterval	BernoulliConfidence.computeConfidenceInterval(double mean, double variance, int numSamples, double confidence)
ConfidenceInterval	ChebyshevInequality.computeConfidenceInterval(double sampleMean, double sampleVariance, int numSamples, double confidence) Computes the Chebyshev Inequality for the given level of confidence.
ConfidenceInterval	ConfidenceIntervalEvaluator.computeConfidenceInterval(double mean, double variance, int numSamples, double confidence) Computes the confidence interval given the mean and variance of the samples, number of samples, and corresponding confidence interval
ConfidenceInterval	GaussianConfidence.computeConfidenceInterval(double mean, double variance, int numSamples, double confidence)
ConfidenceInterval	MarkovInequality.computeConfidenceInterval(double mean, double variance, int numSamples, double confidence)
ConfidenceInterval	StudentTConfidence.computeConfidenceInterval(double mean, double variance, int numSamples, double confidence)
static ConfidenceInterval	BernoulliConfidence.computeConfidenceInterval(double bernoulliParameter, int numSamples, double confidence) Computes the ConfidenceInterval for the Bernoulli parameter based on the given data and the desired level of confidence.
static ConfidenceInterval	MarkovInequality.computeConfidenceInterval(double sampleMean, int numSamples, double confidence) Computes the Markov Inequality Bound for the given data at the given confidence level.
static ConfidenceInterval	GaussianConfidence.computeConfidenceInterval(UnivariateDistribution<?> dataDistribution, int numSamples, double confidence) Computes the Gaussian confidence interval given a distribution of data, number of samples, and corresponding confidence interval
ConfidenceInterval	StudentTConfidence.Summary.summarize(java.util.Collection<? extends java.lang.Number> data)

Constructors in gov.sandia.cognition.statistics.method with parameters of type ConfidenceInterval

Constructor and Description
ConfidenceInterval(ConfidenceInterval other) Copy constructor
FieldConfidenceInterval(java.lang.reflect.Field field, ConfidenceInterval confidenceInterval) Creates a new instance of FieldConfidenceInterval