umontreal.iro.lecuyer.probdist
Class GammaDistFromMoments
java.lang.Object
umontreal.iro.lecuyer.probdist.ContinuousDistribution
umontreal.iro.lecuyer.probdist.GammaDist
umontreal.iro.lecuyer.probdist.GammaDistFromMoments
- All Implemented Interfaces:
- Distribution
public class GammaDistFromMoments
- extends GammaDist
GammaDistFromMoments
Extends the GammaDist distribution with constructors accepting the
mean μ and variance σ2 as arguments instead of a shape parameter
α and a scale parameter λ.
Since
μ = α/λ, and
σ2 = α/λ2,
the shape and scale parameters are
α = μ2/σ2, and
λ = μ/σ2, respectively.
Methods inherited from class umontreal.iro.lecuyer.probdist.GammaDist |
barF, barF, barF, cdf, cdf, cdf, density, density, getAlpha, getInstanceFromMLE, getLambda, getMean, getMean, getMLE, getParams, getStandardDeviation, getStandardDeviation, getVariance, getVariance, inverseF, inverseF, inverseF, setParams, toString |
GammaDistFromMoments
public GammaDistFromMoments(double mean,
double var,
int d)
- .
meanthe desired mean.
varthe desired variance.
dthe number of decimals of precision.
GammaDistFromMoments
public GammaDistFromMoments(double mean,
double var)
- .
meanthe desired mean.
varthe desired variance.
To submit a bug or ask questions, send an e-mail to
Pierre L'Ecuyer.