Timeline for How to model non-negative zero-inflated continuous data?
Current License: CC BY-SA 3.0
9 events
when toggle format | what | by | license | comment | |
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Jan 10 at 13:24 | comment | added | HelloGoodbye | When it comes to modelling of the probability density function (PDF), you need to use the Dirac delta function in order to get a positive probability mass at zero (if you just try to define the PDF as an ordinary function f(x) with a specific value f(0) = y at zero, the integral of f will be independent of y and the limit of the integral from -a to a over f where a approaches 0 will be 0, so the probability mass at zero will be 0). | |
Oct 9, 2020 at 10:34 | answer | added | morebru | timeline score: 2 | |
Nov 12, 2017 at 0:40 | comment | added | amoeba | Related: stats.stackexchange.com/questions/105320 | |
Nov 10, 2017 at 10:36 | history | edited | amoeba | CC BY-SA 3.0 |
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Dec 22, 2015 at 2:14 | answer | added | Ben Bolker | timeline score: 64 | |
Dec 21, 2015 at 22:54 | comment | added | Glen_b | If it's zero-inflated it cannot be continuous, since continuous variables cannot have any jumps in the cdf (and there's clearly one at 0). It may be continuous aside from the 0's. | |
Dec 21, 2015 at 22:07 | history | edited | Silverfish | CC BY-SA 3.0 |
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Dec 21, 2015 at 21:57 | review | First posts | |||
Dec 21, 2015 at 22:07 | |||||
Dec 21, 2015 at 21:57 | history | asked | David | CC BY-SA 3.0 |