Uses of Interface
gov.sandia.cognition.statistics.method.ConfidenceIntervalEvaluator

Packages that use ConfidenceIntervalEvaluator
gov.sandia.cognition.statistics.method Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods. 
 

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

Classes in gov.sandia.cognition.statistics.method that implement ConfidenceIntervalEvaluator
 class BernoulliConfidence
          Computes the Bernoulli confidence interval.
 class ChebyshevInequality
          Computes the Chebyshev Inequality for the given level of confidence.
 class 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.
 class MarkovInequality
          Implementation of the Markov Inequality hypothesis test.
 class StudentTConfidence
          This class implements Student's t-tests for different uses.
 

Methods in gov.sandia.cognition.statistics.method with parameters of type ConfidenceIntervalEvaluator
static
<DataType> ArrayList<FieldConfidenceInterval>
FieldConfidenceInterval.computeConfidenceInterval(Collection<DataType> data, ArrayList<Field> interestedFields, ConfidenceIntervalEvaluator<Collection<? extends Number>> confidenceIntervalEvaluator, double confidence)
          Computes a FieldConfidenceInterval for the given Fields in the given data
static
<DataType> ArrayList<FieldConfidenceInterval>
FieldConfidenceInterval.computeConfidenceInterval(Collection<DataType> data, ConfidenceIntervalEvaluator<Collection<? extends Number>> confidenceIntervalEvaluator, double confidence)
          Computes a FieldConfidenceInterval for each Double/double Field in the given data.