Uses of Class
pulse.search.statistics.Statistic

Packages that use Statistic

Package	Description
pulse.search.statistics	PULsE Statistical Kit.
pulse.tasks	Introduces the SearchTask, which is the main actor in PULsE, and the TaskManager, a high-level class which among other functions manages loading and executing SearchTasks.

Uses of Statistic in pulse.search.statistics

Subclasses of Statistic in pulse.search.statistics

Modifier and Type	Class	Description
class	AbsoluteDeviations	A statistical optimality criterion relying on absolute deviations or the L1 norm condition.
class	AICStatistic	AIC algorithm: Banks, H.
class	AndersonDarlingTest	The Anderson-Darling normality test.
class	BICStatistic	Bayesian Information Criterion (BIC) algorithm formulated for the Gaussian distribution of residuals.
class	EmptyTest
class	KSTest	The Kolmogorov-Smirnov normality test as implemented in ApacheCommonsMath.
class	ModelSelectionCriterion	An abstract superclass for the BIC and AIC statistics.
class	NormalityTest	A normality test is invoked after a task finishes, to validate its result.
class	OptimiserStatistic	An Optimiser statistic is simply the objective function that is calculated by the Optimiser.
class	RangePenalisedLeastSquares	This is an experimental feature.
class	RegularisedLeastSquares	This is an experimental feature.
class	ResidualStatistic	An abstract statistic (= a numeric value resulting from a statistical procedure) that operates with model residuals.
class	RSquaredTest	The coefficient of determination represents the goodness of fit that a HeatingCurve provides for the ExperimentalData
class	SumOfSquares	The standard optimality criterion of the L2 norm condition, or simply ordinary least squares.

Uses of Statistic in pulse.tasks

Methods in pulse.tasks with parameters of type Statistic

Modifier and Type	Method	Description
protected void	Calculation.initModelCriterion(Statistic res)