On Thu, Mar 1, 2012 at 12:07 PM, Doran, Harold <hdo...@air.org> wrote:
> Typically this list doesn't support general statistical questions and 
> unfortunately I don't have a better recommendation. It may be more helpful 
> for you to work with a statistician than seek help here.
>
> My point is simply that quantile regression is not for modeling outcomes that 
> are quantiles. The fact that you have a dependent variables expressed as a 
> percentile doesn't mean that quantile regression is the appropriate approach.
>

It's fairly widely true that percentiles or ranks behave
probabilistically as if they were independent uniform random variables
(though unfortunately it can be quite hard to prove in individual
cases) so that might be where to start.


  -thomas

-- 
Thomas Lumley
Professor of Biostatistics
University of Auckland

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