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- From: jgk@osc.COM (Joe Keane)
- Newsgroups: sci.math.stat
- Subject: Re: Degrees of Freedom Was: Re: Standard Deviation.
- Summary: It's OK.
- Keywords: information
- Message-ID: <5713@osc.COM>
- Date: 28 Aug 92 05:03:07 GMT
- References: <l95552INNa4h@roundup.crhc. <thompson.714338397@kiyotaki.econ.umn.edu> <1992Aug21.000314.2367@newshost.anu.edu.au>
- Reply-To: Joe Keane <jgk@osc.com>
- Organization: Versant Object Technology, Menlo Park, CA
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-
- In article <thompson.714338397@kiyotaki.econ.umn.edu>
- thompson@atlas.socsci.umn.edu (T. Scott Thompson) writes:
- >To put out a concrete example that illustrates the nature of my
- >qualms, consider the following. Suppose my data consist of a single
- >number, say X. Suppose that I am given two pieces of information
- >about X (but not X itself):
- >
- > (1) I can observe Y := X**2
- > (2) I can observe Z := { 1 if X > 0
- > { -1 otherwise
-
- It seems to me that the concept of degrees of freedom is closely related to
- that of dimension. Given that, i would say that X and Y have one degree of
- freedom, and Z has *no* degrees of freedom, because it's discrete.
-
- On the other hand, it's often more useful to talk about bits of information.
- If X is symmetrically distributed, Z gives you one bit of information. If we
- observe Y to some accuracy, we can divide that accuracy by dY/dX to get the
- accuracy of X. Then we compare that with our previous accuracy of X to see
- how much information we have gained. Believe it or not, this actually works
- out in the end.
-
- --
- Joe Keane, amateur mathematician
- jgk@osc.com (uunet!amdcad!osc!jgk)
-