Timeline for Creating a bivariate distribution with one customized marginal distribution
Current License: CC BY-SA 3.0
18 events
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| May 31, 2021 at 9:06 | 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 25, 2021 at 11:02 | 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. | |
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| Mar 30, 2019 at 22:58 | comment | added | kjetil b halvorsen♦ | Can you post (a link to) the data? | |
| Mar 30, 2019 at 22:58 | answer | added | kjetil b halvorsen♦ | timeline score: 1 | |
| Jun 9, 2018 at 21:03 | history | edited | kjetil b halvorsen♦ |
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| Jan 9, 2018 at 5:15 | comment | added | Glen_b | I'm talking about the actual data values. Clearly the sums of the variables can actually exceed 300 because we have values that do so; you can't maintain that the values both must not exceed 300 and that they do in fact exceed 300. When made about the same thing, the claims are incompatible. You must be talking about different things from the observed data when you say something cannot exceed 300. Are the data perhaps contaminated in some way from some underlying value? (If so, can you explain what's going on?) | |
| Jan 9, 2018 at 5:12 | comment | added | Kelian | @Glen_b The value of the sum must be less than 300, and in real life that is the case most of the time! | |
| Jan 9, 2018 at 5:04 | comment | added | Glen_b | So it's more that they're nearly always less than 300, is that right? Is there some value that the sum must be less than? | |
| Jan 9, 2018 at 2:56 | comment | added | Kelian | @Glen_b, because it's real world data, some of the data values go above the expected period of time (300 days). I didn't remove them because they're not wrong, necessarily, they are useful for visualizing the distribution of the data. But in the simulation I would have to I suppose "squeeze" the distribution so that it is the same sort of shape as the real data but the range is from 0 to 300 days. Both variables have the unit of: days. | |
| Jan 8, 2018 at 17:17 | comment | added | Xi'an | A copula is a family of distributions with fixed marginals, starting with two-dimensional vectors. | |
| Jan 8, 2018 at 8:55 | comment | added | Glen_b | Thanks; that's an important bit of information. However, your plot seems to say something different from that, since there are values of var2 that seem to be well above 300 for values where var1 is positive (looks like it's about 14 and some var2 values look to be about 320). How is that appearance happening if their sum is no more than 300? Is there substantial vertical jitter in the plot? (What are these values? Days of the year ? Angles in degrees? ) | |
| Jan 8, 2018 at 3:48 | comment | added | Kelian | @Glen_b Actually get your question now, var1+var2 is bounded by 300. As in, the sum of var1 and var2 cannot exceed 300. | |
| Jan 8, 2018 at 3:04 | comment | added | Kelian | By their sum, do you mean the sum of var1 and var2? The range of var1 should be from 0 to 300 and the range of var2 should be from 0 to 300 also (although the observed data goes up to 320). | |
| Jan 8, 2018 at 2:46 | comment | added | Glen_b | Is there a bound on their sum? That would be important to specifying a suitable model. | |
| Jan 8, 2018 at 1:55 | history | asked | Kelian | CC BY-SA 3.0 |