Timeline for Distribution of values in a time series (tidal data)
Current License: CC BY-SA 4.0
12 events
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| Aug 20, 2018 at 6:47 | history | edited | Frans Rodenburg |
Added a tag, see: https://stats.meta.stackexchange.com/q/5384/176202
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| Aug 19, 2018 at 0:29 | history | edited | Sextus Empiricus | CC BY-SA 4.0 |
added 66 characters in body; edited title
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| Aug 19, 2018 at 0:25 | answer | added | Sextus Empiricus | timeline score: 1 | |
| Dec 19, 2011 at 20:57 | comment | added | wh1t3cat1k | @jbowman , can I please ask you to write what parameters exactly have you found?.. ALL: I don't know why any curve is needed, actually. His prof just said "approximate it with a theoretical distribution", an so he asked me. | |
| Dec 19, 2011 at 17:35 | comment | added | jbowman | I followed up on thias suggestion, using the package Mclust in R, and came up with a best fit (using BIC as a criterion) of a mixture of 5 Gaussians. It's nice to have a simple functional formula for a distribution, but I agree with thias and whuber - it isn't necessary or, in this case, at all likely that you'll be able to come up with one for this data. | |
| Dec 19, 2011 at 15:11 | answer | added | jcb | timeline score: 1 | |
| Dec 19, 2011 at 14:55 | comment | added | whuber♦ | Why do you need to "fit a distribution curve"? It is rare that arbitrary curve fitting is of much help and when it is, that is because the fit is good, simple, and clear, which appears to be a highly unlikely outcome in this case. | |
| Dec 19, 2011 at 14:24 | history | tweeted | twitter.com/#!/StackStats/status/148770625736032256 | ||
| Dec 19, 2011 at 14:18 | comment | added | wh1t3cat1k | My colleague is studying at university. His professor claims that these are sea water level observations, but doesn't give any more details. n=1024 may even mean that the data is artificial. | |
| Dec 19, 2011 at 12:48 | comment | added | cardinal | Where do these data come from? (That is, how do they arise?) | |
| Dec 19, 2011 at 11:42 | comment | added | thias | due to its bimodal shape, you might want to try a gaussian mixture-model (weighted sum of two gaussians)? | |
| Dec 19, 2011 at 10:48 | history | asked | wh1t3cat1k | CC BY-SA 3.0 |