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Re: How to identify outliers

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On 28.11.2017 15:40, Daniele Futtorovic wrote:

> I got a statistical problem, and due to a youth math trauma, I'd like a
> bit of help to solve it.

:-)

> I have a data series. Integer values, but that should be beside the
> point. I want to identify and eliminate "outliers" from this series.
> "Outliers" being values that are "too big" or "too small", in short,
> that are not congruent with the rest of the series. I am well aware that
> saying "outlier" begs the question, hence the quotes, but I can
> fine-tune the degree of outlying for my purposes later on. For the time
> being, I wonder if someone could outline some basic approaches I could
> take in the matter.

Funny: just today I ran across
https://www.reddit.com/r/java/comments/7gkry0/statistically_rigorous_java_perfo
rmance_evaluation/
and eventually found https://en.wikipedia.org/wiki/Truncated_mean which is a
fairly simple and straightforward method.  Depending on what you want to do you
 could also work with median or percentiles which are usually less affected by
outliers than the median.

Kind regards

        robert

--
remember.guy do |as, often| as.you_can - without end
http://blog.rubybestpractices.com/

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Re: How to identify outliers Robert Klemme <shortcutter@googlemail.com> (Robert Klemme) - 2017-11-30 18:38 +1200

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