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Re: st: re: Rank regression


From   Austin Nichols <[email protected]>
To   [email protected]
Subject   Re: st: re: Rank regression
Date   Sat, 26 Sep 2009 08:10:42 -0400

Another possibility:
http://www.jstor.org/stable/1403649
but I'm still betting on -qreg-

On Fri, Sep 25, 2009 at 6:51 PM, Moises Rosas (w)
<[email protected]> wrote:
> I loved the "A very persistent referee...." part....
>
> Check out this link:
> Rank-Based Analyses of Linear Models Using R
> http://www.jstatsoft.org/v14/i07/paper
>
> Regards,
>
> Moises Rosas
>
> ----- Original Message ----
> From: Christopher Baum <[email protected]>
> To: [email protected]
> Sent: Friday, September 25, 2009 2:55:41 PM
> Subject: st: re: Rank regression
>
> <>
> Austin said
>
> I assume the reviewer means quantile regression.
>
> Maybe, maybe not. See
>
>     • A Robust Alternative Based on Ranks to Least Squares in Analyzing Linear Models
>     • Thomas P. Hettmansperger and Joseph W. McKean
>     • Technometrics, Vol. 19, No. 3 (Aug., 1977), pp. 275-284
>
> which pops out of Google 'rank regression method'
>

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