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  1. Newsgroups: sci.math.stat
  2. Path: sparky!uunet!gatech!destroyer!cs.ubc.ca!unixg.ubc.ca!kakwa.ucs.ualberta.ca!access.usask.ca!skmath3!bickis
  3. From: bickis@skmath3 (M. Bickis)
  4. Subject: Re: Rational functions: a linear model?
  5. Message-ID: <1992Oct14.183404.23514@access.usask.ca>
  6. Sender: news@access.usask.ca (USENET News System)
  7. Nntp-Posting-Host: skmath3.usask.ca
  8. Organization: University of Saskatchewan, Saskatoon, Canada
  9. References: <1992Oct11.153538.12821@zip.eecs.umich.edu> <BvyzDy.LJC@mentor.cc.purdue.edu>
  10. Date: Wed, 14 Oct 1992 18:34:04 GMT
  11. Lines: 19
  12.  
  13. >In article <1992Oct11.153538.12821@zip.eecs.umich.edu> ayman@eecs.umich.edu 
  14. (Ayman I. Kayssi) writes:
  15. >>I'm trying to fit data to a rational function. 
  16.  
  17. John Nelder wrote a paper in the '60's about inverse polynomial regression that
  18. might give you the sort of fit you need.  I can't recall the exact reference,
  19. but it is discussed in McCullagh & Nelder's "Generalized Linear Models".
  20.  
  21. >What is the transformation that I need to make to have a linear model?
  22.  
  23. Can't be done.  That's why you need a generalized linear model.
  24.  
  25.  
  26. >>>>>>>>>>>>>>>>>>>bickis@math.usask.ca<<<<<<<<<<<<<<<<<<<<<<<<<<<
  27. Mik Bickis       \,,,       .*#*.  \    University of Saskatchewan
  28. Department of        \,,,  ^\\|//^  ```\   Saskatoon, Saskatchewan
  29. Mathematics & Statistics \   )|(        ```\   Canada      S7N 0W0
  30. <<<<<<<<<<<<<<<<<<<S|A|S|K|A|T|C|H|E|W|A|N|>>>>>>>>>>>>>>>>>>>>>>>
  31.  
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