What functions are best for approximating the Least Square Method?

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SUMMARY

The discussion centers on the best functions for approximating the Least Square Method, specifically addressing the challenges of fitting data with gaps. The user initially attempted a polynomial function of degree six, f(x) = a + bx + cx^2 + dx^3 + ex^4 + fx^5 + gx^6, but found it inadequate due to a significant gap between 50 and 80. The solution proposed involves using Harmonic analysis, which effectively addresses the issue of data fitting by breaking the data into two separate fits for improved accuracy.

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aldrinkleys
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Which families of functions should I use to approximate it?

I tried f(x) = a + bx + cx^2 + dx^3 + ex^4 + fx^5 + gx^6

a,b,c,d,e,f,g [tex]\in[/tex] R

And I got this:

eIOaD.jpg


but that curve ignores the hole between 50 and 80.
and this is important for me and f(x) is too long...



Can anyone help me?
 
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That fit is probably optimal if you want to fit all the data at the same time. You could break the data into two fits for better accuracy, however.
 
ah, I solved my problem =)I used Harmonic analysis

bgolb.jpg
 

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