ikr.simlib.untested.statistics.correlation

Class CorrelationStatistic

java.lang.Object

ikr.simlib.statistics.Statistic

ikr.simlib.untested.statistics.correlation.CorrelationStatistic

All Implemented Interfaces:

Printable

Direct Known Subclasses:

StdCorrelationStatistic

public abstract class CorrelationStatistic
extends Statistic
implements Printable

CorrelationStatistic is an abstract base class for a cross correlation statistic.

Field Summary

Fields inherited from class ikr.simlib.statistics.Statistic

sampleIndex, simNode, traceWriter

Constructor Summary

Constructors

Constructor and Description
CorrelationStatistic(java.lang.String name, SimNode owner)

Method Summary

Methods

Modifier and Type	Method and Description
abstract double	getCoefficient()
abstract double	getCoefficientConfidenceInterval()
abstract double	getCovariance()
abstract double	getCovarianceConfidenceInterval()
java.lang.String	getResultTypeName()
void	printResults(ResultType type, PrintResultWriter writer)
abstract void	update(double xSample, double ySample)

Methods inherited from class ikr.simlib.statistics.Statistic

addResultTag, addResultTag, computeMeasures, disableTracing, enableTracing, handleInitSimulation, handleStartBatch, handleStartTransientPhase, handleStopBatch, handleStopTransientPhase, printComments, resetBatchStatistic, resetStatistic, update, writeTraceEntry

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

CorrelationStatistic

public CorrelationStatistic(java.lang.String name,
                    SimNode owner)

Method Detail

printResults

public void printResults(ResultType type,
                PrintResultWriter writer)

Specified by:

printResults in interface Printable

getResultTypeName

public java.lang.String getResultTypeName()

Specified by:

getResultTypeName in interface Printable

update

public abstract void update(double xSample,
          double ySample)

getCoefficient

public abstract double getCoefficient()

getCoefficientConfidenceInterval

public abstract double getCoefficientConfidenceInterval()

getCovariance

public abstract double getCovariance()

getCovarianceConfidenceInterval

public abstract double getCovarianceConfidenceInterval()