Timeline for How to properly fit experimental data to a nonlinear model?
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| Sep 11, 2022 at 23:24 | comment | added | MarcoB | @xPigeonDestroyer2000 Beta is easy: for $t=0 $ the model reduces to $\beta\ e^0 = \beta$ and this value should correspond to the initial value of the data, which is around 1, so $\beta = 1$ is a good starting point. For $\gamma$, it was just trial and error. | |
| Sep 11, 2022 at 21:31 | comment | added | xPigeonDestroyer2000 | may I ask how you picked the initial values for gamma and beta? | |
| Sep 11, 2022 at 20:52 | vote | accept | xPigeonDestroyer2000 | ||
| Sep 11, 2022 at 20:51 | comment | added | xPigeonDestroyer2000 | Thank very much, I've been sitting on this the whole day :D | |
| Sep 11, 2022 at 20:20 | history | edited | MarcoB | CC BY-SA 4.0 | added 90 characters in body |
| Sep 11, 2022 at 20:14 | history | answered | MarcoB | CC BY-SA 4.0 |