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Re: st: RE: Generation of Random Lognomral Distributions
Now what i meant about mean and sd whithin a range is that I need the
distributions to be generated randomly. That is, that the mean and
standard deviations be randomly chosen from a range. The end result is
a set of random numbered distribution with randomly chosen mean and
Does this make any sense??
On 4/30/05, Nick Cox <firstname.lastname@example.org> wrote:
> A random sample from a lognormal can be generated directly by
> . gen lognormal = exp(<mean> + <sd> * invnorm(uniform()))
> Here replace <mean> and <sd> by variables or constants giving
> the desired mean(s) and sd(s) of the logged variable.
> I am not clear exactly what you mean by "within a ra[n]ge",
> but some variation on this will get what you want.
> (Naturally, this is the recipe used by -rndlogn-. In
> the help file for that program, and in the code,
> whenever it says variance, it means sd.)
> Jose Marin
> > I have a quick question.
> > I am trying to generate a large number of random lognormal
> > distributions with mean and standard deviation within a rage. I tried
> > using mkbilogn and rndlgn but they generate distributions around the
> > same inputted mean and standard deviation. I am a new Stata user.
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