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Re: st: Removing outliers from my dataset
From
Nick Cox <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: Removing outliers from my dataset
Date
Wed, 17 Apr 2013 18:59:44 +0100
See also the thread starting at
http://www.stata.com/statalist/archive/2012-03/msg01325.html
including this advice from one of our founders
In 1827 Olbers asked Gauss "What should count as an unusual or too
large a deviation? I would like to receive more precise directions."
Gauss in his reply was disinclined to give any more directions and
compared the situation to everyday life, where one often has to make
intuitive judgments outside the reign of formal and explicit rules.
Nick
[email protected]
On 17 April 2013 17:00, JVerkuilen (Gmail) <[email protected]> wrote:
> On Wed, Apr 17, 2013 at 10:33 AM, Nick Cox <[email protected]> wrote:
>> I think I agree with this, not that there can't be differing views on
>> a tricky area!
>>
>> In essence, there should be a story that says why some data points
>> don't belong. That's more a subject-matter judgment call relating a
>> decision to research objectives than a statistical decision.
>
> Definitely. The robust literature IMO isn't about removing outliers
> per se, it's about having methods to make your inferences not affected
> strongly by outliers so as not to have to do a lot of the arbitrary
> trimming that folks often do. Who knows, the outliers might well be
> the most valuable points in your dataset!
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