Uses of Class
pulse.search.statistics.ResidualStatistic

Packages that use ResidualStatistic

Package	Description
pulse.io.export	Package contains the PULsE export API, which currently consists of different exporter classes, an export manager, an XML converter and a MassExporter class.
pulse.search.statistics	PULsE Statistical Kit.
pulse.ui.components	This package contains all custom Swing-based components of the graphical user interface of PULsE that are used to interact with all other entities, such as PropertyHolders, etc.
pulse.ui.frames	Contains all JFrame classes that are used to create the graphical user interface of PULsE.

Uses of ResidualStatistic in pulse.io.export

Methods in pulse.io.export that return types with arguments of type ResidualStatistic

Modifier and Type	Method	Description
Class<ResidualStatistic>	ResidualStatisticExporter.target()

Methods in pulse.io.export with parameters of type ResidualStatistic

Modifier and Type	Method	Description
void	ResidualStatisticExporter.printToStream(ResidualStatistic rs, FileOutputStream fos, Extension extension)	Prints the residuals in a two-column format in a html or csv file (accepts both extensions).

Uses of ResidualStatistic in pulse.search.statistics

Subclasses of ResidualStatistic 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	AndersonDarlingTest	The Anderson-Darling normality test.
class	EmptyTest
class	KSTest	The Kolmogorov-Smirnov normality test as implemented in ApacheCommonsMath.
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	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.

Constructors in pulse.search.statistics with parameters of type ResidualStatistic

Constructor	Description
ResidualStatistic(ResidualStatistic another)

Uses of ResidualStatistic in pulse.ui.components

Methods in pulse.ui.components with parameters of type ResidualStatistic

Modifier and Type	Method	Description
void	ResidualsChart.plot(ResidualStatistic stat)

Uses of ResidualStatistic in pulse.ui.frames

Constructor parameters in pulse.ui.frames with type arguments of type ResidualStatistic

Constructor	Description
HistogramFrame(AuxPlotter<ResidualStatistic> chart, int width, int height)