umontreal.iro.lecuyer.probdist
Class LognormalDistFromMoments
java.lang.Object
  
umontreal.iro.lecuyer.probdist.ContinuousDistribution
      
umontreal.iro.lecuyer.probdist.LognormalDist
          
umontreal.iro.lecuyer.probdist.LognormalDistFromMoments
- All Implemented Interfaces: 
 - Distribution
 
public class LognormalDistFromMoments
- extends LognormalDist
 
Extends the LognormalDist class with a constructor accepting the
 mean m and the variance v of the distribution as arguments.
 The mean and variance of a lognormal random variable with
 parameters μ and σ are
 
 eμ+σ2/2 and
 
 e2μ+σ2(eσ2 - 1) respectively, so
 the parameters are given by 
 σ2 = ln(v/m2+1) and
 
 μ = ln(m) - σ2/2.
 
 
 
 
| Methods inherited from class umontreal.iro.lecuyer.probdist.LognormalDist | 
barF, barF, cdf, cdf, density, density, getInstanceFromMLE, getMean, getMean, getMLE, getMu, getParams, getSigma, getStandardDeviation, getStandardDeviation, getVariance, getVariance, inverseF, inverseF, setParams, toString | 
 
 
 
LognormalDistFromMoments
public LognormalDistFromMoments(double mean,
                                double var)
To submit a bug or ask questions, send an e-mail to
        Pierre L'Ecuyer.