ikr.simlib.statistics.probability

Class ProbabilityStatistic

java.lang.Object

ikr.simlib.statistics.Statistic

ikr.simlib.statistics.probability.ProbabilityStatistic

All Implemented Interfaces:

Printable, ResultTaggable, UnweightedSampleCollector<java.lang.Boolean>, WeightedSampleCollector<java.lang.Boolean,java.lang.Long>

Direct Known Subclasses:

StdProbabilityStatistic

public abstract class ProbabilityStatistic
extends Statistic
implements Printable, WeightedSampleCollector<java.lang.Boolean,java.lang.Long>

The class ProbabilityStatistic serves to record the results of Bernoulli trials, which are random experiments with only two possible results (e.g., failure probability in a queue with limited capacity). update(long, boolean) records the number of trials that have the same result (true or false ).

The following functions are available for evaluation:

• Batch probability as a quotient of the number of favorable events and the total number of events (getBatchProbability())
• Mean value of the batch probabilities (getMean()) including a confidence interval (getConfidenceInterval())

The above mentioned functions, that have only been declared in a virtual manner in ProbabilityStatistic, have been implemented in the derived class StdProbabilityStatistic. An object of this class can be created with the createProbabilityStatistic() method from StatisticManager and deleted with deleteProbabilityStatistic().

For printing the results it defines the following keywords:

mean

Mean value of the probabilities in all batches

cintmean

Confidence interval for the mean value in +/- notation

bprob

Probability in reference to the current batches

Field Summary

Fields inherited from class ikr.simlib.statistics.Statistic

sampleIndex, simNode, traceWriter

Constructor Summary

Constructors

Constructor and Description
ProbabilityStatistic(SimNode ownNode)

Method Summary

Methods

Modifier and Type	Method and Description
abstract double	getBatchProbability()
abstract double	getConfidenceInterval()
abstract double	getMean()
void	printResults(ResultType type, PrintResultWriter writer)
void	update(java.lang.Boolean special)
void	update(java.lang.Boolean sample, java.lang.Long weight)
abstract void	update(long number, boolean special)

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

ProbabilityStatistic

public ProbabilityStatistic(SimNode ownNode)

Method Detail

printResults

public void printResults(ResultType type,
                PrintResultWriter writer)
                  throws PrintException

Specified by:

printResults in interface Printable

Throws:

PrintException

update

public abstract void update(long number,
          boolean special)

update

public void update(java.lang.Boolean special)

Specified by:

update in interface UnweightedSampleCollector<java.lang.Boolean>

update

public void update(java.lang.Boolean sample,
          java.lang.Long weight)

Specified by:

update in interface WeightedSampleCollector<java.lang.Boolean,java.lang.Long>

getMean

public abstract double getMean()

getBatchProbability

public abstract double getBatchProbability()

getConfidenceInterval

public abstract double getConfidenceInterval()