Timeline for Measuring dispersion in circular data
Current License: CC BY-SA 4.0
11 events
| when toggle format | what | by | license | comment | |
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| Dec 9, 2022 at 12:56 | answer | added | R. Mitchell | timeline score: 0 | |
| Oct 6, 2022 at 16:38 | comment | added | John Madden | @kjetilbhalvorsen Maybe I should have included the exact parenthetical that I did =P I'm only asking because OP seems to be asking about a coefficient of variation rather than a measure of dispersion tout court. | |
| Oct 6, 2022 at 16:02 | answer | added | Nick Cox | timeline score: 0 | |
| Oct 6, 2022 at 15:16 | comment | added | whuber♦ | Agreed. For instance, conceivably a dataset with half its values equal to $\theta$ and the other half equal to $\theta + \pi$ could be considered "most dispersed." | |
| Oct 6, 2022 at 13:59 | answer | added | jwimberley | timeline score: 1 | |
| Oct 6, 2022 at 13:41 | history | edited | kjetil b halvorsen♦ | CC BY-SA 4.0 |
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| Oct 6, 2022 at 13:41 | comment | added | kjetil b halvorsen♦ | @John Madden: To me dispersion is a more informal term, which could be quantified various ways. Maybe depends on context, though ... | |
| Oct 6, 2022 at 6:49 | comment | added | John Madden | Can you help us understand what you mean by dispersion? To the statistician, this is the same thing as standard deviation (or, at least, standard deviation is one way to measure dispersion). | |
| Oct 6, 2022 at 6:45 | history | migrated | from math.stackexchange.com (revisions) | ||
| Oct 2, 2022 at 9:45 | comment | added | Giuseppe Negro | Mathematically, provided you are not dividing by zero of course you can. The question is whether that is statistically meaningful. I would think it is but you should consult some statistics reference | |
| Oct 2, 2022 at 9:27 | history | asked | Ajinkya Kulkarni | CC BY-SA 4.0 |