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Jul
9
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Oct
28
awarded  Editor
Oct
28
revised proof that the sum of the squares achieves minimum
edited body
Oct
28
asked proof that the sum of the squares achieves minimum
Dec
19
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Sep
2
comment easy to implement method to fit a power function (regression)
It looks impressive, but how do You get this results? As a student and I have to explain every expression i use in detail. When You look at the link I posted (in the comment below), do You see a bridge between this and Your weighted results? For me they look totally different. I'm almost finished with the LM method. Is it possible to cooperate on a post how this method works on math.stackexchange?
Aug
31
comment easy to implement method to fit a power function (regression)
J.M could You please take a look on my derivation of the formula: docs.google.com/… Could You please explain to me why there is the y^2_i in the sum of f(a,b) in mathematic language. I can't understand it. I would love to see how the LM method works, on this problem. I tried to understand it but couldn't.
Aug
30
comment easy to implement method to fit a power function (regression)
But how to menage the invert operation? Inverting an NxN matrix was never an easy job... Is there no way around this?
Aug
30
comment easy to implement method to fit a power function (regression)
I'm working on financial data. I tested Your solution which is also described here: mathworld.wolfram.com/LeastSquaresFittingPowerLaw.html, but I think that I've the problem You mentioned. I described it here: stackoverflow.com/questions/3599109/power-function-fit. Just to be sure You suggest: first the linear regression and then Levenberg-Marquardt?
Aug
30
awarded  Student
Aug
30
asked easy to implement method to fit a power function (regression)