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- From: flim@weber.ucsd.edu (Francis Lim)
- Newsgroups: sci.math.stat
- Subject: ACE (Alternating Conditional Expectations)
- Date: 5 Jan 1993 04:09:34 GMT
- Organization: University of California, San Diego
- Lines: 26
- Message-ID: <1ib1luINN84d@network.ucsd.edu>
- NNTP-Posting-Host: weber.ucsd.edu
-
- Hello netters. I have a simple ACE (Breiman and Friedman 1985) question.
-
- ACE stands for Alternating Conditional Expectations, and is a method
- of estimating the relationship between the explanatory and response
- variables, transforming the variables to maximize their correlation.
-
- The presumed relationship between Y and X, for example, is
-
- \theta(Y) = \phi(X) + e
-
- where e is random error.
-
- One can use either BLSS or S to invoke ACE.
- For both statistical packages, I found that \hat{\theta}(Y) did NOT
- equal \hat{\phi}(X), where \hat symbolizes the estimated
- transformations.
-
- In fact, \hat{\theta}(Y) was not even proportional to \hat{\phi}(X).
-
- Any ideas? Thanks in advance. Replies will be summarized and posted
- to the net.
- --
- -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
- FRANCIS W. LIM | email: flim@ucsd.edu | dept phone: (619) 534-3383
- Dept of Economics, Univ of Cal at San Diego, La Jolla, CA 92093-0508
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