Sentences with phrase «polynomial curve fitting»

I'm not an expert in this but I'm suspicious of polynomial curve fitting.

In both of these cases we have assumed a global \ (\ phi \) parameter, and found it by polynomial curve fitting of mean vs variance.

Not exact matches

With your mouse, drag data points and their error bars, and watch the best - fit polynomial curve update instantly.

In the figure the continuous brown curve is an estimate by locally weighted regression (loess)-- using a locally - fitting cubic polynomial and the standard «tri-cube» weighting.

However, although its simple linear regression analysis facilities (including polynomials) provides automatically the option for plotting the fit with CIs for the fitted line / curve and for future observations from the same population, I am unsure about these intervals for autocorrelated data — typically time series.

The dark black, grey and bright red curves are second order polynomial fitted trends produced by Excel - they are not predictions, but they do indicate the current direction the trends are taking.

Attributing climate is more like figuring out the structure of DNA than it is like figuring out the laws of quantum mechanics — simple curve - fitting («exponentials, polynomials») doesn't cut it.

By analogy with certain sets of data that are actually generated by say a quadratic function or other polynomial, there might be sections where the curve is almost flat and happens to match a linear fit, but that linear fit will then diverge from the more complicated reality.

Has anyone tried to do an nth order polynomial or a Fourier series curve fit on the climate data?

Least squared curve fit to an N - th order polynomial?