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  From: Daniel Ryan <drya9411@mail.usyd.edu.au>
  To  : RASMB <rasmb@alpha.bbri.org>
  Date: Sat, 7 Oct 2000 15:00:42 +1000

A Question

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Hi,
    This is Daniel Ryan again. I have one question about the non-linear =
least squares analysis of sed. eq. data. I am going to use a modified =
Gauss-Newton algorithm. The only thing I don't quite understand is the =
fitting of multiple data sets simultaneously. I can't seem to find in =
the literature anything that explicitly explains it. For each data set =
do you separately apply the algorithm and obtain separate a (vector of =
the fitting parameters) for each set, then what happens. This is were I =
get lost because I can't find an explanation anywhere, (My knowledge of =
this type of stuff is not great). If any one could shed some light on =
this topic it would be greatly appreciated.

Cheers Daniel Ryan.

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<DIV><FONT face=3DArial size=3D2>Hi,</FONT></DIV>
<DIV><FONT face=3DArial size=3D2>    This is Daniel Ryan =
again. I=20
have one question about the non-linear least squares analysis of sed. =
eq. data.=20
I am going to use a modified Gauss-Newton algorithm. The only thing I =
don't=20
quite understand is the fitting of multiple data sets simultaneously. I =
can't=20
seem to find in the literature anything that explicitly explains it. For =
each=20
data set do you separately apply the algorithm and obtain separate a =
(vector of=20
the fitting parameters) for each set, then what happens. This is were I =
get lost=20
because I can't find an explanation anywhere, (My knowledge of this type =
of=20
stuff is not great). If any one could shed some light on this topic it =
would be=20
greatly appreciated.</FONT></DIV>
<DIV> </DIV>
<DIV><FONT face=3DArial size=3D2>Cheers Daniel =
Ryan.</FONT></DIV></BODY></HTML>

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