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RE: AW: st: Weibull


From   Nikolaos Pandis <npandis@yahoo.com>
To   statalist@hsphsun2.harvard.edu
Subject   RE: AW: st: Weibull
Date   Mon, 9 Mar 2009 21:54:18 -0700 (PDT)

Dear Muhammad, Martin  and Nick,

Thank you for all your help;it is greatly appreciated.
I am new to satistics and Stata, and from a different background and that is why I may ask questions which are self explanatory to the people responding to the statalist.
Again, thank you for all your help, time and effort.

Best wishes,

Nikolaos
--- On Mon, 3/9/09, Nick Cox <n.j.cox@durham.ac.uk> wrote:


From: Nick Cox <n.j.cox@durham.ac.uk>
Subject: RE: AW: st: Weibull
To: statalist@hsphsun2.harvard.edu
Date: Monday, March 9, 2009, 2:47 PM


The archive shows the contributions to the thread. 

You can get Weibull deviates in at least three ways:

1.  by using -generate- directly, through something like 

gen weibull = b * (-ln(runiform()))^(1 / c)

2. by using Bobby Gutierrez's more general -gengammareg-

3. by using Joe Hilbe's -rnd-. 

As I see it, 3 offers no advantage over 1 beyond the fact that you don't need to know the formula with 3. 2 has a major advantage over 1 or 3 in that it can cope with (e.g.) generating deviates conditionally on linear predictors. 

As all this is evident by looking at help files, I am not sure what scope remains for a detailed discussion. If people don't understand, they should ask specific questions. 

Also, be aware that -rnd- is a not an equivalent to -simulate-. 

Nick 
n.j.cox@durham.ac.uk 

Muhammad Riaz

Well, I will stop adding more on this topic as it is going to be an issue now.
my aim was just to help, I don't remember who else has provided another method to generate data from weibull. It will help Nikolao if somebody could tell him how to use -rnd- instead -simulate- in his problem. Also comparison of  the two methods will give better understanding of the topic if somebody else has thrown another method. 
I welcome and appreciate your comments.
 

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