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2 total messages Started by J E H Shaw Tue, 06 Oct 1992 16:46
Re: A question or two re: splines
#644
Author: J E H Shaw
Date: Tue, 06 Oct 1992 16:46
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Sorry - my e-mailed reply bounced, so I'm posting this (reply to
how to fit splines with a fixed number of free knots).

  I looked (briefly!) at this a long time ago.  With free knots,
  the equations are horribly ill-conditioned.  I think your best
  chance of fitting a spline in practice is iterative ad-hockery:
  fix the knots & fit the spline, find the `least important'
  knot (e.g. where the n'th deriv. changes least or the knot whose
  omission changes the likelihood least) & try it somewhere else
  (e.g. in the middle of the section with largest n'th deriv.)
  and repeat.  Or something like that.  Good luck.
                -- Ewart Shaw

I'll try to dig up whatever references I found on the problem.
-- 
J.E.H.Shaw,  Department of Statistics,  |  JANET:  strgh@uk.ac.warwick.cu
             University of Warwick,     |  BITNET: strgh%uk.ac.warwick.cu@UKACRL
             Coventry  CV4 7AL,  U.K.   |  PHONE:  +44 203 523069
Sarah (20 months) on first seeing juggling:  `Balls skipping in the sky'.
Re: A question or two re: splines
#454
Author: Robert Strawderman
Date: Wed, 07 Oct 1992 15:59
24 lines
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The way you suggest is the one that I am currently using - I had a feeling that the
procedure I posed would not be well-behaved - you've confirmed my suspicions.

In regard to the "knot-selection" procedure you posed, there are two such references
which come to mind:  Pat Smith's paper (a NASA tech report) on using B-splines in 
regression, and a paper by Kooperberg and Stone which appeared recently in one
of the stat journals (Comp Stat and Data Analysis, I believe).

Thanks for your reply...

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Rob Strawderman				Email:  rob@biostat.med.umich.edu
Department of Biostatistics  		Office:	(313) 936 - 1002
University of Michigan

              "Let no man lack for the thirst of real ale...."

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