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Subject: Simpson's Paradox : demonstration program -- From: Norman Marsh
Subject: entropy estimation -- From: fc4@aixcomp1.urz.uni-heidelberg.de (Peter Parzer )
Subject: Question about time series and stochastic process. -- From: Liang Lu

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Subject: Simpson's Paradox : demonstration program
From: Norman Marsh
Date: Mon, 20 Jan 1997 17:12:16 +0000
There has been recent discussion on  STAT-L  regarding Simpson's
Paradox, including worthy contributions by John Vokey and others.
By chance, I have just completed and issued a program which
undertakes to provide numerical demonstrations of Simpson's Paradox.
The program also provides options for a filtering criterion based
upon the value of the Pearson Chi-Squared statistic, and for dealing
with a number of subtables/strata which may be greater than 2.
The program is offered as standard (ISO/ANSI) conformant Pascal
source (ASCII text), and although the source is large it should
complie on any Pascal compiler system.  It is located as part of
the resources  associated with the discussion list  exact-stats  at the
UK Mailbase  site.  Set your browser URL as :
 http://www.mailbase.ac.uk/lists/exact-stats/files/genxtabspas.txt
or send a 1-line e-mail message as follows :
        to:             mailbase@mailbase.ac.uk
        message         send exact-stats genxtabspas.txt
(this causes the text to be sent to you as an e-mail message).
I should be interested to hear of any feedback from users of this
new resource/toy - messages direct to author please :
 jw34@liverpool.ac.uk
Norman Marsh
University of Liverpool
jw34@liverpool.ac.uk
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Subject: entropy estimation
From: fc4@aixcomp1.urz.uni-heidelberg.de (Peter Parzer )
Date: 20 Jan 1997 18:47:57 GMT
Hi
I would like to estimate the entropy of a random variable from
a sample without assumptions about the density function, or in
other words a nonparametric estimator of the entropy.
Does someonehow to do this?
Thanks for any help.
--
Peter Parzer
Peter.Parzer@urz.uni-heidelberg.de
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Subject: Question about time series and stochastic process.
From: Liang Lu
Date: Mon, 20 Jan 1997 11:47:49 -0600
Is there any known stochastic process that can related mean or standard
deviation of different averaging time?
Please email me if you have information.
-- 
Liang Lu, President
Lu Scientific Consulting         Tele: 817-320-3974
2806 Country Club                Fax: 817-484-5282
Denton, TX 76201                 Email: llu1@airmail.net
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