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# Identifying-Outliers

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Revision as of 15:26, 27 September 2017 by Paulkaefer (Talk | contribs)

*This is a work in progress. You can contribute to this article.*

This page describes how to combine output data sets from the frequency and summary procedures and calculate outliers according to Grubbs' and Tukey's algorithms.

This is R&D for a paper being submitted to the fall regionals, 2015

## The Frequency Procedure

## The Summary Procedure

## References

- Outliers definition -- Wikipedia
- Frank E. Grubbs bio from ordnance.army.military
- Grubbs' test for outliers Wikipedia
- see also ballistipedia Statistical_Measures_for_Riflemen_and_Missile_Engineers
- Sample Criteria for Testing Outlying Observations in The Annals of Mathematical Statistics, Volume 21, Number 1 (1950), pg 27-58.
- Procedures for Detecting Outlying Observations in Samples Paperback – 1974
- Detection of Outliers in Analytical Data – The Grubb’s Test

- John Tukey bio -- Wikipedia, the definer of the phrase exploratory data analysis (EDA)
- Exploratory Data Analysis -- Wikipedia
- Exploratory Data Analysis books.google, John Wilder Tukey Addison-Wesley Publishing Company, Jan 1, 1977 - Mathematics - 688 pages
- Tukey's outliers short definition
- How to look at data A review of John W. Tukey's Exploratory Data Analysis, J Exp Anal Behav. 1979 May; 31(3): 433–440.

- James Handsfield CHEKOUT: A SAS(R) Program to Screen for Outliers
- Edward Tufte

--Ronald_J._Fehd macro.maven == the radical programmer (talk) 11:26, 23 March 2015 (CDT)