Timeline for Any practical uses of inverse uniform distribution?
Current License: CC BY-SA 3.0
10 events
| when toggle format | what | by | license | comment | |
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| May 8, 2019 at 15:01 | history | made wiki | Post Made Community Wiki by whuber♦ | ||
| May 8, 2019 at 11:01 | answer | added | kjetil b halvorsen♦ | timeline score: 1 | |
| Apr 13, 2014 at 16:27 | comment | added | Adrian | One possibility would be to think about a probability p drawn uniformly on [0, 1]. The mean of a geometric RV with parameter p is 1/p, so you'd have an inverse uniform distribution on the expectation of your geometric RV. Not sure what real-life process this describes, but maybe someone can think of a cool example. | |
| Apr 13, 2014 at 15:45 | comment | added | wolfies | If the volume of gas in a canister has a Uniform distribution, then presumably the pressure of the gas would have an inverse Uniform distribution, since pressure and volume are inversely proportional (Boyle's Law). [ Better check the fine points with a physics guru - been some time since I played with the real world :) ] | |
| Apr 13, 2014 at 5:11 | history | tweeted | twitter.com/#!/StackStats/status/455211560647274496 | ||
| Apr 13, 2014 at 2:13 | history | edited | Sergio Parreiras | CC BY-SA 3.0 |
changed the language to attract answers
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| Apr 13, 2014 at 2:12 | comment | added | Sergio Parreiras | @PatrickCoulombe I have research level work that uses the inverse uniform and it would be nice to have few lines in the introduction motivating its use as many are not familiar with it. I was hoping applied folks here would have many examples. I wish it was for homework: will assign it to my students next semester. | |
| Apr 12, 2014 at 20:15 | comment | added | Patrick Coulombe |
Why do you "need" real-life examples? Is this for homework? If so, you should add the self-study tag to your question. See stats.stackexchange.com/tags/self-study/info
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| Apr 12, 2014 at 20:13 | review | First posts | |||
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| Apr 12, 2014 at 19:58 | history | asked | Sergio Parreiras | CC BY-SA 3.0 |