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Re: st: RE: Generating random variates

From   anirban basu <[email protected]>
To   [email protected]
Subject   Re: st: RE: Generating random variates
Date   Fri, 23 Aug 2002 11:27:38 -0500 (CDT)

Hi all,

Thanks to Thomas for pointing out to the sg44.1 package. I did update the
package from the proper website. Though I ws looking to use my own random
numbers, these ado files are useful because I can modify them to use my
own rnd #s quite easily. 

However,  out of the many distributions covered by this package, I did not
find one for negative binomial. I was wondering if anyone has any code to
generate this distribution. Thanks,


Doctoral Student
Harris School of Public Policy Studies
University of Chicago

On Fri, 23 Aug 2002, Steichen, Thomas wrote:

> Roger Harbord writes that there are issues involved in properly
> installing the -rnd- package.  Others have adequately replied to
> the general problem of STB programs not always being updated; 
> I'll not address that further.
> I should apologize, though, for pointing Anirban to the STB 41 
> reference.  Clearly I should have remembered that the latest 
> version was elsewhere, since I stimulated the changes therein.
> Nonetheless, despite Roger's P.S. (below), I still believe that 
> the -rnd- package is the best resource for solving Anirban's problem. 
> > P.S. None of this is in fact relevant to anirban basu's 
> > original query as he explained in his second message that 
> > he wants to use his own random numbers, not the 
> > -rnd- package. I've no ideas on that - sorry anirban.
> Anirban's original message was:
> > I was wondering if there is any easy way to generate random
> > variates for Poisson, Negative Binomial and Inverse Gaussian 
> > distributions where E(y) = mu = exp(xb) in Stata. 
> This is precisely what -rnd- does.  The only issue might be that
> -rnd- generates a new dataset of a specified size containing the
> random variates.  As far as I know, there are not functions 
> available to generate individual random variates. If Anirban 
> requires a _single_ random variate (rather than a dataset of 
> random variates), his only recourse is to modify the -rnd- code 
> to generate the single variate, stuff it into a returned value, 
> and pick it up in his own program.   
> Tom

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