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Date:   Wed, 18 Jun 2003 08:47:16 -0400
Reply-To:   Peter Flom <flom@NDRI.ORG>
Sender:   "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:   Peter Flom <flom@NDRI.ORG>
Subject:   Re: Outliers
Comments:   To: ajaya_u2002@YAHOO.COM
Content-Type:   text/plain; charset=US-ASCII

Aj,

First, if anyone says they have a simple routine for figuring out which points are outliers, they are wrong :-)

Outliers in what sense? (influential points, high leverage points, possible data entry errors etc) For what purpose? (To ensure data quality? To improve a model? For prediction, or explanation? etc.) For what analysis? (Univariate stats? OLS regression? something else?) For data collected how (Experiment? Observational study? Survey?) In the dependent variable, or the independent variables,or both?

The standard text is Outliers in Statistical Data, by (I think) Barnett and Lewis; but it is NOT simple, and may not be what you want

Without context, there is nothing to recommend

Peter

Peter L. Flom, PhD Assistant Director, Statistics and Data Analysis Core Center for Drug Use and HIV Research National Development and Research Institutes 71 W. 23rd St New York, NY 10010 (212) 845-4485 (voice) (917) 438-0894 (fax)

>>> Aj <ajaya_u2002@YAHOO.COM> 06/18/03 08:27AM >>> Hi,

I am trying to find the ways to find outliers in data. I have used proc univariate option.

I would like to know simple options where I can find easily. I would appriciate your time.

Thanks, Aj


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