Re: simultaneous nonlinear regression of a lot of data

*To*: mathgroup at smc.vnet.net*Subject*: [mg65440] Re: [mg65427] simultaneous nonlinear regression of a lot of data*From*: Mary Beth Mulcahy <Mary.Mulcahy at colorado.edu>*Date*: Sat, 1 Apr 2006 05:38:59 -0500 (EST)*References*: <200603311109.GAA15091@smc.vnet.net>*Sender*: owner-wri-mathgroup at wolfram.com

There was a great post about this topic that helped me. Here is the link: http://forums.wolfram.com/mathgroup/archive/2004/Oct/msg00031.html I have used it on very large data sets of up to 3 sets of the data at a time. mb Quoting dantimatter <dantimatter at gmail.com>: > Hello all, > > I have a question about using the nonlinear regression function on a > large data set. Perhaps some of you have suggestions, and can point me > in another direction if this is not the best way to solve this problem. > > > Basically I have ~100 data sets of ~200 points each, and I'd like to > fit each set to the following function: > > G(t) = 1/N * [ y / (1+t/m1) + (1-y) / (1+t/m2) ] > > For each data set, the numbers N and y are different, but the numbers > m1 and m2 are the same for all data sets. The problem is that I only > know m1, and not m2. I am hoping to simultaneously solve all these > data sets to come up with a value for m2, but I'm not entirely sure how > to code it. I can come up with a reasonable m2 to start any > regression. > > Any thoughts? > > Thanks! > -- Department of Chemistry and Biochemistry University of Colorado Chemistry 76 Boulder, CO 80309-0215 (303) 492-0579