Class LognormalDistributionFromMoments
java.lang.Object
de.uka.ipd.sdq.probfunction.math.apache.impl.AbstractContinousPDF
de.uka.ipd.sdq.probfunction.math.apache.impl.LognormalDistribution
de.uka.ipd.sdq.probfunction.math.apache.impl.LognormalDistributionFromMoments
- All Implemented Interfaces:
IContinousPDF
,ILognormalDistribution
,IProbabilityDensityFunction
,IProbabilityFunction
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Field Summary
Fields inherited from class de.uka.ipd.sdq.probfunction.math.apache.impl.AbstractContinousPDF
internalFunction, sampleDrawer
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Constructor Summary
ConstructorDescriptionLognormalDistributionFromMoments
(double mean, double variance, IRandomGenerator rng) Constructs a GammaDist object based on the distribution mean and distribution coefficient of variance. -
Method Summary
Methods inherited from class de.uka.ipd.sdq.probfunction.math.apache.impl.LognormalDistribution
add, cdf, checkConstrains, density, div, getArithmeticMeanValue, getCumulativeFunction, getFourierTransform, getInverseFourierTransform, getLowerDomainBorder, getMedian, getMu, getPercentile, getSigma, getStandardDeviation, getVariance, getXinf, getXsup, greaterThan, hasOrderedDomain, inverseF, lessThan, mult, probabilisticEquals, scale, shiftDomain, stretchDomain, sub
Methods inherited from class de.uka.ipd.sdq.probfunction.math.apache.impl.AbstractContinousPDF
drawSample, getCoefficientOfVariance, getProbabilitySum, getUnit, isInFrequencyDomain, isInTimeDomain
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
Methods inherited from interface de.uka.ipd.sdq.probfunction.math.IContinousPDF
getCoefficientOfVariance
Methods inherited from interface de.uka.ipd.sdq.probfunction.math.IProbabilityDensityFunction
drawSample
Methods inherited from interface de.uka.ipd.sdq.probfunction.math.IProbabilityFunction
getProbabilitySum, getUnit, isInFrequencyDomain, isInTimeDomain
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Constructor Details
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LognormalDistributionFromMoments
Constructs a GammaDist object based on the distribution mean and distribution coefficient of variance.- Parameters:
distribution
- meancoefficient
- of variance ( = standard deviation / mean)- Throws:
org.apache.commons.math.MathException
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