Pedro Mendes wrote:
> I'd also
> recommend the following paper: Johnson ML (1992) "Why, when, and how
> biochemists should use least squares" Anal.Biochem. 206, 215-225
M.L. Johnson periodically rewrites a constantly developing (and a very
good!) paper every few years for the Methods in Enzymology:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@article { John9401,
author = "M. L. Johnson",
title = "Use of least-squares techniques in biochemistry",
journal = "Meth. Enzymol.",
volume = "240",
pages = "1-23",
year = "1994" }
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@article { John9201,
author = "M. L. Johnson and L. M. Faunt",
title = "Parameter estimation by least-squares methods",
journal = "Meth. Enzymol.",
volume = "210",
pages = "1-37",
year = "1992" }
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@article { John8501,
author = "M. L. Johnson and S. G. Frasier",
title = "Nonlinear least-squares analysis",
journal = "Meth. Enzymol.",
volume = "117",
pages = "301-342",
year = "1985" }
There are some very good books also, which I always keep around:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@book { Rawl88,
author = "J. O. Rawlings",
title = "Applied Regression Analysis -- A Research Tool",
publisher = "Wadsworth",
address = "Belmont",
year = "1988"}
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@book { Reic92,
author = "J. G. Reich",
title = "Curve Fitting and Modelling for Scientists and Engineers",
publisher = "McGraw-Hill",
address = "New York",
year = "1992" }
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@book { Bate88,
author = "D. M. Bates and D. W. Watts",
title = "Nonlinear Regression Analysis and Its Applications",
publisher = "Wiley",
address = "New York",
year = "1988" }
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@book { Drap81,
author = "N. Draper and H. Smith",
title = "Applied Regression Analysis",
publisher = "Wiley",
address = "New York",
year = "1981" }
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@book { Sebe89,
author = "G. A. F. Seber and C. J. Wild",
title = "Nonlinear Regression",
publisher = "Wiley",
address = "New York",
year = "1989"}
> In short, go with DynaFit which is the best program around for this purpose.
I can endorese that 100% (thanks for the compliment: a cold beer on me,
Pedro.) The program is available at the URL below.
-- Petr
_____________________________________________________________
Petr Kuzmic Ph.D. * BioKin Ltd. * Madison, WI 53708-8336, USA
pkuzmic at biokin.com * http://www.biokin.com * 608.256.1269 fax
