How to compare the standard errors
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Hi,
I have implemented a code for the slope,
x_ceng = sum(xi)/n; % center of gravity of x
m = sum(xi-x_ceng)*yi/sum(xi-x_ceng)^2; % Slope
di = yi-m*xi-c; % the residuals
D = sum(xi-x_ceng)^2;
% The standard error is then given by;
dm = sqrt(sum(di^2)/D*(n-2))
I have compared m with values of polyfit and it agrees, but I am not certain that the standard error is correct. I am obtaining very low dm that what I would like considering the spread of the data that I obtain.
Is there any function in MATLAB that I can compare dm with?
Many Thanks for any input.
3 comentarios
Star Strider
el 22 de Nov. de 2012
If you are estimating two parameters, you should have two standard errors, one for each parameter.
Also, your dm line doesn't look correct to me.
Lizan
el 23 de Nov. de 2012
Star Strider
el 23 de Nov. de 2012
Initially, there was a right parenthesis missing. (You corrected that in your edit.)
The polyfit documentation outlines a procedure to calculate the covariance matrix from information in the ‘S’ structure, and from that you can calculate the standard errors to check to see how they compare to those you calculated in your code.
Respuestas (1)
Star Strider
el 23 de Nov. de 2012
0 votos
If you want to determine the parameter confidence intervals from polyfit, I suggest the File Exchange function polyparci.
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