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Re: st: Robust regression - outliers

From   Nick Cox <[email protected]>
To   [email protected]
Subject   Re: st: Robust regression - outliers
Date   Thu, 22 Sep 2011 19:00:09 +0100

This presupposes that outliers are easily defined, which isn't always
true. For example, it is not even always true that an outlier is
associated with a large residual, but as you mention robust regression
let's start optimistic.

In my view the best ways to look for outliers are graphical.

. search modeldiag

and read the 2004 article and install the updated software for some
suggestions, The article is directly accessible at

For example, -rvfplot2- in this package works after more
regression-type commands than the official -rvfplot-.

-extremes- is from SSC and not especially helpful here.

Please note that the request to explain where user-written software
you refer to come from applies to you too. (See also your last post.)


On Thu, Sep 22, 2011 at 6:46 PM, Ozgur Ozdemir <[email protected]> wrote:

> I am trying to ding outliers in my regression analysis but none of the proposed commands such as cooksd, rstudent, hat etc works after a robust regression. Is there any specific command to run to find the outliers? I have also seen the extremes command but not sure if i can use. thanks

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