Package pulse.search.statistics

PULsE Statistical Kit.

Class Summary

Class	Description
AbsoluteDeviations	A statistical optimality criterion relying on absolute deviations or the L1 norm condition.
AICStatistic	AIC algorithm: Banks, H.
AndersonDarlingTest	The Anderson-Darling normality test.
BICStatistic	Bayesian Information Criterion (BIC) algorithm formulated for the Gaussian distribution of residuals.
CorrelationTest
EmptyCorrelationTest
EmptyTest
FTest	A static class for testing two calculations based on the Fischer test (F-Test) implemented in Apache Commons Math.
KSTest	The Kolmogorov-Smirnov normality test as implemented in ApacheCommonsMath.
ModelSelectionCriterion	An abstract superclass for the BIC and AIC statistics.
NormalityTest	A normality test is invoked after a task finishes, to validate its result.
OptimiserStatistic	An Optimiser statistic is simply the objective function that is calculated by the Optimiser.
PearsonCorrelation	Wrapper CorrelationTest class for ApacheCommonsMath Pearson Correlation.
RangePenalisedLeastSquares	This is an experimental feature.
RegularisedLeastSquares	This is an experimental feature.
ResidualStatistic	An abstract statistic (= a numeric value resulting from a statistical procedure) that operates with model residuals.
RSquaredTest	The coefficient of determination represents the goodness of fit that a HeatingCurve provides for the ExperimentalData
SpearmansCorrelationTest	Wrapper CorrelationTest class for ApacheCommonsMath Spearmans Correlation.
Statistic	A statistic is an abstract class that hosts the evaluate method to validate the results of a SearchTask.
SumOfSquares	The standard optimality criterion of the L2 norm condition, or simply ordinary least squares.