Package adams.data.random
Class Weibull
- java.lang.Object
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- adams.core.logging.LoggingObject
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- adams.core.logging.CustomLoggingLevelObject
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- adams.core.option.AbstractOptionHandler
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- adams.data.random.AbstractRandomNumberGenerator<T>
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- adams.data.random.AbstractSeededRandomNumberGenerator<T>
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- adams.data.random.AbstractDistributionBasedRandomNumberGenerator<Double>
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- adams.data.random.Weibull
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- All Implemented Interfaces:
adams.core.Destroyable
,adams.core.GlobalInfoSupporter
,adams.core.logging.LoggingLevelHandler
,adams.core.logging.LoggingSupporter
,adams.core.option.OptionHandler
,adams.core.Randomizable
,adams.core.ShallowCopySupporter<adams.data.random.RandomNumberGenerator>
,adams.core.SizeOfHandler
,adams.data.random.DistributionBasedRandomNumberGenerator<Double>
,adams.data.random.RandomNumberGenerator<Double>
,adams.data.random.SeededRandomNumberGenerator<Double>
,Serializable
public class Weibull extends adams.data.random.AbstractDistributionBasedRandomNumberGenerator<Double>
Generates random numbers from a Weibull random variable with specified mean and standard deviation.
Valid options are:
-D <int> (property: debugLevel) The greater the number the more additional info the scheme may output to the console (0 = off). default: 0 minimum: 0
-seed <long> (property: seed) The seed value for the random number generator. default: 1
-mean <double> (property: mean) The mean to use for the distribution. default: 1.0
-stdev <double> (property: stdev) The standard deviation to use for the distribution. default: 1.0
- Version:
- $Revision$
- Author:
- fracpete (fracpete at waikato dot ac dot nz)
- See Also:
Random.weibull(double, double)
, Serialized Form
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Constructor Summary
Constructors Constructor Description Weibull()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description protected void
check()
Performs optional checks.protected Double
doNext()
Returns the next random number.protected double
getDefaultMean()
Returns the default mean to use.String
globalInfo()
Returns a string describing the object.void
reset()
Resets the generator.-
Methods inherited from class adams.data.random.AbstractDistributionBasedRandomNumberGenerator
defineOptions, getDefaultStdev, getMean, getStdev, meanTipText, setMean, setStdev, stdevTipText
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Methods inherited from class adams.data.random.AbstractSeededRandomNumberGenerator
getSeed, seedTipText, setSeed
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Methods inherited from class adams.data.random.AbstractRandomNumberGenerator
forCommandLine, forName, getGenerators, next, shallowCopy, shallowCopy
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Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, setLoggingLevel, toCommandLine, toString
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Methods inherited from class adams.core.logging.LoggingObject
configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf
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Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface adams.core.option.OptionHandler
cleanUpOptions, getOptionManager, toCommandLine
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Field Detail
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m_Random
protected Random m_Random
the actual generator.
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Method Detail
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globalInfo
public String globalInfo()
Returns a string describing the object.- Specified by:
globalInfo
in interfaceadams.core.GlobalInfoSupporter
- Specified by:
globalInfo
in classadams.core.option.AbstractOptionHandler
- Returns:
- a description suitable for displaying in the gui
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reset
public void reset()
Resets the generator.
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getDefaultMean
protected double getDefaultMean()
Returns the default mean to use.- Overrides:
getDefaultMean
in classadams.data.random.AbstractDistributionBasedRandomNumberGenerator<Double>
- Returns:
- the mean
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check
protected void check()
Performs optional checks.
Initializes the random number generator.- Overrides:
check
in classadams.data.random.AbstractRandomNumberGenerator<Double>
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