Re: Rationalized Fitting
- To: mathgroup at smc.vnet.net
- Subject: [mg125409] Re: Rationalized Fitting
- From: Antonio Alvaro Ranha Neves <aneves at gmail.com>
- Date: Tue, 13 Mar 2012 03:01:39 -0500 (EST)
- Delivered-to: l-mathgroup@mail-archive0.wolfram.com
- References: <jhienb$b3o$1@smc.vnet.net>
No reply? Guess it's harder than it looks.
On Thursday, February 16, 2012 9:28:27 AM UTC+1, Antonio Alvaro Ranha Neves wrote:
> Hello group members and advanced users,
>
> Recently, I was trying to obtain the best fitting function with rational parameters, without success. I tried something like,
>
> NoisyParabola =
> Table[{x, (Prime[7]/Prime[8] + x Prime[9]/Prime[10] +
> Prime[11]/Prime[12] x^2)*RandomReal[{.95, 1.05}]}, {x, 1, 10,
> 1/4}]
> NLMFit = NonlinearModelFit[NoisyParabola,
> Rationalize[a, 10^-6] + x Rationalize[b, 10^-6] +
> Rationalize[c, 10^-6] x^2, {a, b, c}, x]
> NLMFit["ParameterTable"]
>
> The main idea is to obtain the fitting coefficients (a,b,c) whose standard deviation (da,db,dc), would yield a fitting result of a best fit rational Rationalize[a,da]. But I fail to see how I can get this interactively.
>
> Hope I made myself clear,
> Thanks,
> Antonio
- Follow-Ups:
- Re: Rationalized Fitting
- From: Darren Glosemeyer <darreng@wolfram.com>
- Re: Rationalized Fitting