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Inverse of the lognormal cumulative distribution function (cdf)
Syntax
Description
computes the inverse lognormal cdf with mean X = logninv(P,MU,SIGMA)
MU
and standard deviation SIGMA
, at the corresponding probabilities in P
. Vector or matrix inputs for P
, MU
, and SIGMA
must have the same size, which is also the size of X
. A scalar input for P
, MU
, or SIGMA
is expanded to a constant matrix with the same dimensions as the other inputs.
We define the lognormal inverse function in terms of the lognormal cdf as
Example
p = (0.005:0.01:0.995); crit = logninv(p,1,0.5); plot(p,crit) xlabel('Probability');ylabel('Critical Value'); grid
Reference
[1] Evans, M., N. Hastings, and B. Peacock, Statistical Distributions, Second Edition, John Wiley and Sons, 1993. p. 102-105.
See Also
icdf
, logncdf
, lognpdf
, lognrnd
, lognstat
![]() | logncdf | lognpdf | ![]() |