| Package | Description | 
|---|---|
| gov.sandia.cognition.statistics.method | 
 Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
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. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
static <DataType> java.util.ArrayList<FieldConfidenceInterval> | 
FieldConfidenceInterval.computeConfidenceInterval(java.util.Collection<DataType> data,
                         java.util.ArrayList<java.lang.reflect.Field> interestedFields,
                         ConfidenceIntervalEvaluator<java.util.Collection<? extends java.lang.Number>> confidenceIntervalEvaluator,
                         double confidence)
Computes a FieldConfidenceInterval for the given Fields in the given data 
 | 
static <DataType> java.util.ArrayList<FieldConfidenceInterval> | 
FieldConfidenceInterval.computeConfidenceInterval(java.util.Collection<DataType> data,
                         ConfidenceIntervalEvaluator<java.util.Collection<? extends java.lang.Number>> confidenceIntervalEvaluator,
                         double confidence)
Computes a FieldConfidenceInterval for each Double/double Field
 in the given data. 
 |