Timeline for Mean Preserving PDF Spreading
Current License: CC BY-SA 3.0
11 events
| when toggle format | what | by | license | comment | |
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| Jun 11, 2020 at 14:32 | history | edited | CommunityBot |
Commonmark migration
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| Jan 28, 2015 at 18:41 | vote | accept | Geezer | ||
| Jan 28, 2015 at 18:41 | comment | added | Geezer | Corrected, agreed and granted. | |
| Jan 28, 2015 at 15:39 | comment | added | whuber♦ | Visual expansion is a question of rescaling an image--which is not something you appear explicitly to have asked. Regardless, it does not change the statistical answer at all. If your question really concerns how to physically rescale a graphic, then please specify what software you are using and ask your question on Stack Overflow. | |
| Jan 28, 2015 at 15:35 | comment | added | Geezer | @whuber I beg to differ: What i'm asking for is a numerical method to visually expand the distribution. I fully acknowledge the two differing location axes (as I am directly referring to it above) and two differing value axes as well. I most certainly wish to compare them on the same scale and I believe that is easily evident more than once in the above discussion. I greatly appreciate your contribution nonetheless. | |
| Jan 28, 2015 at 14:36 | comment | added | whuber♦ | @Skeptical This solution accomplishes exactly what you ask for. What you seem to be missing is that the beginning and ending histograms are drawn on different value scales. If you wish to compare them on the same scale, then one of them has to be (visually) expanded around its mean. The relabeling of the value axis has already accomplished the expansion you desire. | |
| Jan 28, 2015 at 11:59 | comment | added | Geezer | Correct @ocramz! The distribution is to change, and so a different underlying sampling process is indeed implied. It is a new and different distribution now, as you would know simply by the fact it has a different variance. Now, all I am looking for is a way to make it evident, by using the same scale/resolution of bins. You are also correct that mass/bins data is to be modified (some sort of interpolation between neighboring bins could be considered). I need to do so, in the first place, in order to numerically fit a "fatter"/"thinner" distribution to my set of data. | |
| Jan 28, 2015 at 11:41 | comment | added | ocramz | I'm afraid you should refresh some math, @SkepticalEmpiricist; what you are asking for would change the distribution, which in turn means that it would imply adding data in the corresponding bins, which in turn means a new sampling process. No transformation possible. But why would you need what you ask for, in the first place? | |
| Jan 27, 2015 at 8:14 | comment | added | Geezer | A comprehensive and thorough answer, Thank you @whuber. However, while these plots are graphically identical, what I want is a method to spread the distribution on a unified scale -- i.e. let the axis itself "sit still" and have the mass spread around along the same exact x-axis. I realize this of course will change the shape, as indicated in the original question. Could you, in the spirit of such great a reply, supply such a method? | |
| Jan 26, 2015 at 17:13 | history | edited | whuber♦ | CC BY-SA 3.0 |
deleted 4 characters in body
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| Jan 26, 2015 at 17:05 | history | answered | whuber♦ | CC BY-SA 3.0 |