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[Phys-L] Re: Average earlier or average later?



At 08:53 AM 9/9/2005, you wrote:
1) Suppose the true relation is strongly nonlinear, such as y=A*x^10.
2) Suppose the the distribution of experimentally measured x is
gaussian (due to random errors of measurements).
3) The distribution of the corresponding y values (calculated from
individual x) will not be Gaussian; it will be skewed.

For that reason averaging at the level of what is experimentally
measured seems to be preferable.
Ludwik Kowalski


There is the famous cautionary example of curve fitting, by translating
raw data to logs, then best-fitting a straight line.

That weights the errors of small values unequally with the errors of
large data values.

Better to fit with a test curve, and minimize the errors from the curve
directly. This is much the same point that Ludwik makes.



Brian Whatcott Altus OK Eureka!
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