ikr.simlib.statistics.sample

Class CondMeanStatistic

java.lang.Object

ikr.simlib.statistics.Statistic

ikr.simlib.statistics.sample.CondMeanStatistic

public class CondMeanStatistic
extends Statistic

CondMeanStatistic offers the possibility to obtain a mean value statistic conditioned on a value (conditioner). The calculation of the bucket widths and the access to the buckets is controlled by a BucketUtility.

Field Summary

Fields

Modifier and Type	Field and Description
protected BucketUtility	bucketUtility
protected StdSampleStatistic	overallStatistic
protected ikr.simlib.statistics.sample.CondMeanStatistic.ConditionalBucket[]	statistics

Fields inherited from class ikr.simlib.statistics.Statistic

sampleIndex, simNode, traceWriter

Constructor Summary

Constructors

Constructor and Description
CondMeanStatistic(double min, double max, int noOfBuckets, java.lang.String name, SimNode parentNode) Creates the mean value statistic using a LinBucketUtility as conditioner.
CondMeanStatistic(java.lang.String name, SimNode parentNode, BucketUtility bucketUtility) Creates the mean value statistic using a user-defined BucketUtility as conditioner.

Method Summary

Methods

Modifier and Type	Method and Description
void	computeMeasures(int batchNumber)
double	getCoefficient(int index)
double	getCoefficientConfidenceInterval(int index)
double	getDeviation(int index)
double	getDeviationConfidenceInterval(int index)
double	getMaximum(int index)
double	getMean(int index)
double	getMeanConfidenceInterval(int index)
double	getMinimum(int index)
void	resetBatchStatistic() only between batches
void	resetStatistic() reset complete statistic
void	update(double condentiator, double sample)

Methods inherited from class ikr.simlib.statistics.Statistic

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

Methods inherited from class java.lang.Object

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

Field Detail

overallStatistic

protected final StdSampleStatistic overallStatistic

statistics

protected final ikr.simlib.statistics.sample.CondMeanStatistic.ConditionalBucket[] statistics

bucketUtility

protected final BucketUtility bucketUtility

Constructor Detail

CondMeanStatistic

public CondMeanStatistic(java.lang.String name,
                 SimNode parentNode,
                 BucketUtility bucketUtility)

Creates the mean value statistic using a user-defined BucketUtility as conditioner.

See Also:

LinBucketUtility, LogBucketUtility

CondMeanStatistic

public CondMeanStatistic(double min,
                 double max,
                 int noOfBuckets,
                 java.lang.String name,
                 SimNode parentNode)

Creates the mean value statistic using a LinBucketUtility as conditioner.

Method Detail

computeMeasures

public void computeMeasures(int batchNumber)

Specified by:

computeMeasures in class Statistic

resetBatchStatistic

public void resetBatchStatistic()

Description copied from class: Statistic

only between batches

Specified by:

resetBatchStatistic in class Statistic

resetStatistic

public void resetStatistic()

Description copied from class: Statistic

reset complete statistic

Specified by:

resetStatistic in class Statistic

update

public void update(double condentiator,
          double sample)

getMean

public double getMean(int index)

getDeviation

public double getDeviation(int index)

getCoefficient

public double getCoefficient(int index)

getMeanConfidenceInterval

public double getMeanConfidenceInterval(int index)

getDeviationConfidenceInterval

public double getDeviationConfidenceInterval(int index)

getCoefficientConfidenceInterval

public double getCoefficientConfidenceInterval(int index)

getMaximum

public double getMaximum(int index)

getMinimum

public double getMinimum(int index)