[pbest, SD] = easyfit(x, y, pinit, fhandle)

Versión 2.0 (2,16 KB) por Jean-Luc Dellis
EASYFIT finds the parameters P of a function y = fun(p,x) which models experimental data (x,y) as well as possible.
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Actualizado 11 ene 2022

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[pbest, SD] = easyfit(x, y, pinit, fhandle)
X vector of the independent variable
Y vector of the "measured" (dependent) variable
FHANDLE handle to a function FUN which is aimed to model the experimental data : Y = FUN(p, X)
PINIT initial guess on the parameter values
PBEST - best parameters in a least squares meaning
SD - Standard Deviations in the parameters p
Examples are given in the help lines
To compute the SD, the "Wild Bootstrap" method is used. It is described there : https://en.wikipedia.org/wiki/Bootstrapping_(statistics)

Citar como

Jean-Luc Dellis (2024). [pbest, SD] = easyfit(x, y, pinit, fhandle) (https://www.mathworks.com/matlabcentral/fileexchange/10625-pbest-sd-easyfit-x-y-pinit-fhandle), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2014b
Compatible con cualquier versión
Compatibilidad con las plataformas
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Más información sobre Interpolation en Help Center y MATLAB Answers.

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Versión Publicado Notas de la versión
2.0

i) The code has been simplified. For instance, graphics are any more generated.
ii) Standard Deviations in the function parameters are output.
1.4.0.0

- the help lines and examples have been improved
- the main results are displayed in the command window
1.3.0.0

Fix minor points and add an example where one parameter is hold constant in fitting.
1.0.0.0

- put VARARGIN to simplify the use
- put UNCERTAINTIES as a subfunction to compute them as
well the data confidence intervals