Timeline for How do I fit a Gaussian function to data?
Current License: CC BY-SA 3.0
18 events
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| Feb 26, 2018 at 12:43 | review | Close votes | |||
| Mar 8, 2018 at 21:41 | |||||
| Feb 26, 2018 at 12:25 | history | edited | Michael E2 |
edited tags
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| Feb 26, 2018 at 12:18 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jan 27, 2018 at 12:47 | review | Close votes | |||
| Jan 29, 2018 at 10:45 | |||||
| Jan 27, 2018 at 11:43 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Dec 28, 2017 at 11:43 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Nov 28, 2017 at 11:32 | history | edited | m0nhawk | CC BY-SA 3.0 |
added 2 characters in body
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| Nov 28, 2017 at 10:31 | answer | added | Ulrich Neumann | timeline score: 1 | |
| Nov 27, 2017 at 23:39 | comment | added | user484 | Previously: Fitting a two-dimensional Gaussian to a set of 2D pixels. That question is in 2D rather than 1D but has the same zero-offset problem. | |
| Nov 27, 2017 at 22:40 | answer | added | Daniele | timeline score: 0 | |
| Nov 27, 2017 at 20:49 | comment | added | JimB |
If you have trouble with convergence following @JoséAntonioDíazNavas good suggestion, then you should include starting values (different from the default values of 1 for all parameters). You might try {{a, 100}, {b, 2500}, {c, 2675}, {d, -400}}.
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| Nov 27, 2017 at 20:26 | comment | added | user53761 | @JoséAntonioDíazNavas thank you, I'll try this! Not sure how to attach a file... | |
| Nov 27, 2017 at 20:22 | comment | added | José Antonio Díaz Navas |
Try Normal@NonlinearModelFit[G', a+ b*Exp[ (x-c)^2/d], {a, b, c, d}, {x, y}]. You will get the fitting equation. A better reply could be provided if you give us access to the data G'
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| Nov 27, 2017 at 20:09 | comment | added | Chris K | @JimB Good point -- I should avoid weighing in on statistical questions, which are outside my area of expertise! | |
| Nov 27, 2017 at 20:07 | comment | added | JimB |
@ChrisK. I disagree. This is a regression problem where the fitted curve has a similar shape to a Gaussian probability function (a + b Exp[(x-c)^2/d]) rather than fitting a probability distribution from a random sample.
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| Nov 27, 2017 at 20:05 | review | First posts | |||
| Nov 27, 2017 at 20:10 | |||||
| Nov 27, 2017 at 20:01 | comment | added | Chris K |
Check out FindDistributionParameters
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| Nov 27, 2017 at 20:00 | history | asked | user53761 | CC BY-SA 3.0 |