Hi,
I have been returning to the same problem a number of times without success
and now look for help with the following:
How do I fit a distribution function with the same number of parameters as
there are quantiles and values such that I get an exact solution as opposed
to a minimum least
Here is an approach using optim:
tmpfunc - function(param){
ml-param[1]
sl-param[2]
(qlnorm(.15,ml,sl)-10)^2 + (qlnorm(.5,ml,sl)-30)^2
}
res - optim(c(1,2), tmpfunc)
res - optim(res$par, tmpfunc)
res
hope this helps,
Greg Snow, Ph.D.
Statistical Data Center, LDS
