Package | Description |
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gov.sandia.cognition.statistics.method |
Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods.
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Modifier and Type | Class and Description |
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class |
BernoulliConfidence
Computes the Bernoulli confidence interval.
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class |
ChebyshevInequality
Computes the Chebyshev Inequality for the given level of confidence.
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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.
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class |
MarkovInequality
Implementation of the Markov Inequality hypothesis test.
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class |
StudentTConfidence
This class implements Student's t-tests for different uses.
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Modifier and Type | Method and Description |
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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
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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.
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