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

Packages that use ConfidenceInterval
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
 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
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
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
 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
 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
 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
 ConfidenceInterval GaussianConfidence.computeConfidenceInterval(Collection<? extends Number> data, double confidence)
           
 ConfidenceInterval StudentTConfidence.computeConfidenceInterval(Collection<? extends Number> data, double confidence)
           
 ConfidenceInterval BernoulliConfidence.computeConfidenceInterval(Collection<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(Collection<Double> data, double confidence)
          Computes the Chebyshev Inequality for the given level of confidence.
 ConfidenceInterval MarkovInequality.computeConfidenceInterval(Collection<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(Collection<? extends Number> data)
           
 

Constructors in gov.sandia.cognition.statistics.method with parameters of type ConfidenceInterval
ConfidenceInterval(ConfidenceInterval other)
          Copy constructor
FieldConfidenceInterval(Field field, ConfidenceInterval confidenceInterval)
          Creates a new instance of FieldConfidenceInterval