Lognormal distribution parameters mu and sigma

LOGNRND Random arrays from the lognormal distribution. R = LOGNRND(MU,SIGMA) returns an array of random numbers generated from the lognormal distribution with parameters MU and SIGMA. MU and SIGMA are the mean and standard deviation, respectively, of the associated normal distribution. The size of R is the common size of MU and SIGMA if both are arrays. If either parameter is a scalar, the size of R is the size of the other parameter. R = LOGNRND(MU,SIGMA,M,N,...) or R = LOGNRND(MU,SIGMA,[M,N,...]) returns an M-by-N-by-... array. The mean and variance of a lognormal random variable with parameters MU and SIGMA are M = exp(MU + SIGMA^2/2) V = exp(2*MU + SIGMA^2) * (exp(SIGMA^2) - 1) Therefore, to generate data from a lognormal distribution with mean M and Variance V, use MU = log(M^2 / sqrt(V+M^2)) SIGMA = sqrt(log(V/M^2 + 1)) See also LOGNCDF, LOGNFIT, LOGNINV, LOGNLIKE, LOGNPDF, LOGNSTAT, RANDOM, RANDN. Documentation for lognrnd doc lognrnd