Timeline for Estimating errors for parameters from a nonlinear fitting procedure
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Apr 25, 2015 at 19:41 | comment | added | Brian Borchers | No, I wouldn't just use $\sqrt{C_{j,j}}$. | |
| Apr 25, 2015 at 19:05 | comment | added | Clemens | Let's assume one wants to fit a Gaussian to a grayscale image - i.e. having lots of data points and only very few parameters - would you say that this is still a "sensible" approach, or is one better off by just taking $\sqrt{|C_{jj}|}$ (notation from above) for an error estimate? | |
| Apr 19, 2015 at 6:35 | vote | accept | Clemens | ||
| Apr 18, 2015 at 18:25 | history | answered | Brian Borchers | CC BY-SA 3.0 |