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Summary: statistical terminology controversy

To: "S-PLUS Newsgroup" <s-news@lists.biostat.wustl.edu>
Subject: Summary: statistical terminology controversy
From: "Lambert.Winnie" <lambert.winnie@ensco.com>
Date: Thu, 19 May 2005 09:07:41 -0400
Thread-index: AcVccxxMBphq9+ZUQy2Fzd3VJShtQA==
Thread-topic: Summary: statistical terminology controversy

Thanks to all who responded.  Looks like my pride is intact.  Since it would be unprofessional to gloat in front of my co-worker, I will do so here:  YES!!!!!!!

 

Most respondents agreed that the terms ‘dependent’ and ‘independent’ represent other issues in statistics and should not be used. For the ‘dependent’ data set the suggested names were training, developmental, calibration, and learning, with training being the most popular. For the ‘independent’ dataset, the suggestions were validation and test, with validation being the most popular.

 

Someone wondered why meteorologists use these terms.  My personal suspicion is that someone used them in a journal article a long time ago and everyone from then on quoted them and used the same terms.  There is at least one other meteorologist in this group and he is free to disagree if he likes. The terms also appear in one of our weather Bibles: Statistical Methods in the Atmospheric Sciences by Dan Wilks.  To be fair, he suggests other terms in the book including development/dependent/training for the dataset used to create the equations and independent/verification for the dataset to test the equations.

 

We as a group have become more statistics-savvy in the last few years, however, and my goal is to use statistics correctly and with the correct terms.

 

Thank you all for your time.

 

*****************************************************************

Winifred C. Lambert  Senior Scientist/Meteorologist

ENSCO, Inc.

Aerospace Sciences and Engineering Division

1980 N. Atlantic Ave., Suite 230

Cocoa Beach, FL  32931

VOICE:  321.853.8130  FAX:  321.853.8415

EMAIL:  lambert.winnie@ensco.com

 

AMU Quarterly Reports are available online:

http://science.ksc.nasa.gov/amu

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