Lognormal Inverse CDF
x = distfun_logninv ( p , mu , sigma ) x = distfun_logninv ( p , mu , sigma , lowertail )
a matrix of doubles, the probability. Must be in the range [0,1].
a matrix of doubles, the mean of the underlying normal variable.
a matrix of doubles, the variance of the underlying normal variable. sigma>0.
a 1-by-1 matrix of booleans, the tail (default lowertail=%t). If lowertail is true (the default), then considers P(X<=x) otherwise P(X>x).
a matrix of doubles
This function computes the Lognormal quantile.
Any scalar input argument is expanded to a matrix of doubles of the same size as the other input arguments.
Any optional input argument equal to the empty matrix will be set to its default value.
Dider Pelat, "Bases et méthodes pour le traitement de données", section 8.2.8, "Loi log-normale".
Wikipedia, Lognormal probability distribution function, http://en.wikipedia.org/wiki/File:Lognormal_distribution_PDF.png
Wikipedia, Lognormal cumulated distribution function, http://en.wikipedia.org/wiki/File:Lognormal_distribution_CDF.png