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| From | Daniele Futtorovic <da.futt.news@laposte.net> |
| Newsgroups | comp.lang.java.programmer |
| Subject | Re: How to identify outliers |
| Date | Tue, 28 Nov 2017 17:33:28 +0100 |
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On 2017-11-28 16:13, Eric Sosman wrote: > On 11/28/2017 9:40 AM, Daniele Futtorovic wrote: >> Hi folks, >> >> 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. > > > http://newton.newhaven.edu/sross/piercescriterion.pdf > > If the table at the end of this (short) paper isn't suited to > your needs, I can also offer source code (in C) to adapted from > https://groups.google.com/d/topic/sci.math/Kypai3jqss8/discussion > to calculate the underlying distribution. Drop me a line if you'd > like it. > Spiffy. Exactly what I was looking for. I'll go over it and get back to you if needed and you don't mind. Thanks a ton. -- DF.
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How to identify outliers Daniele Futtorovic <da.futt.news@laposte.net> - 2017-11-28 15:40 +0100
Re: How to identify outliers Eric Sosman <esosman@comcast-dot-net.invalid> - 2017-11-28 10:13 -0500
Re: How to identify outliers Daniele Futtorovic <da.futt.news@laposte.net> - 2017-11-28 17:33 +0100
Re: How to identify outliers Eric Douglas <e.d.programmer@gmail.com> - 2017-11-28 07:28 -0800
Re: How to identify outliers Daniele Futtorovic <da.futt.news@laposte.net> - 2017-11-28 17:35 +0100
Re: How to identify outliers Robert Klemme <shortcutter@googlemail.com> - 2017-11-30 18:38 +0100
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