Re: Find a dood function for fitting data
- To: mathgroup at smc.vnet.net
- Subject: [mg42166] Re: Find a dood function for fitting data
- From: "Will Self" <wself at msubillings.edu>
- Date: Sat, 21 Jun 2003 02:49:41 -0400 (EDT)
- References: <bcrqqr$hlp$1@smc.vnet.net>
- Sender: owner-wri-mathgroup at wolfram.com
Guillermo, you posted this earlier; did you receive my private reply? Will <guillerm at usal.es> wrote in message news:bcrqqr$hlp$1 at smc.vnet.net... > (*Dear friend, I want fit these data *) > > data = {{0.5, 0.089}, {0.7, 0.12}, {1, 0.1652}, {2, 0.254}, {3, 0.3}, { > 4, 0.325}, {5, 0.34}, {7, 0.35}, {10, 0.35}, {15, 0.33}, {20, 0.32}}; > > (*I have tested with a few function such as that the follow, but I > have not found a good fit*) > > Needs["Statistics`NonlinearFit`"]; > > fit[x1_] = NonlinearFit[data, a1 x1^b1 Exp[b2 x1], {x1}, {a1, b1, b2}] > > Plot[fit[x1], {x1, 0.5, 20}, Epilog -> Map[Point, data]] > > (*I have the same problem with this other data*) > > data1= {{0.5, 0.11}, {0.7, 0.15}, {1, 0.2112}, {2, 0.322}, {3, 0.37}, {4, > 0.391}, {5, 0.399}, {7, 0.4}, {10, 0.38}, {15, 0.36}, {20, 0.33}}; > > (*I will appreciate if you find a good fit, with no many parameters, for both > data. Thanks > Guillermo > Sanchez*) > > --------------------------------------------- > This message was sent using Endymion MailMan. > http://www.endymion.com/products/mailman/ > >