Linear Least Square fit
5 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Hi,
I am new here and I apologize for any mistakes.
I have a problem and I don't know how to solve it please guide me.it"s not a homework or anything.
a data is given and
and y values have variance-covariance
find the optimal parameters c1 and c2 for fitting function
calculate the variance-covariance matrix.
2 Kommentare
John D'Errico
am 25 Sep. 2020
Bearbeitet: John D'Errico
am 25 Sep. 2020
This is a bit confusing.
Are you asking to compute a least squares fit, GIVEN a known covariance matrix on the vector y? If so, then you can use lscov.
Or are you asking to compute a least squares fit, and then estimate a covariance matrix for the parameters?
First, you showed a covariance matrix, but then you ask to compute a covariance matrix.
Antworten (1)
Alan Stevens
am 25 Sep. 2020
For the linear least squares best fit, try:
>> M = [ones(3,1), x.^3];
>> C = M\y
C =
0.6667
0.5000
For the var-covar look up the MATLAB documentation on cov.
Siehe auch
Kategorien
Mehr zu Least Squares finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!