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Jan 26, 2022 at 18:37 vote accept Suriya Kumar J S
Jan 25, 2022 at 16:07 comment added Glen_b That works if F and G are continuous; but this doesn't break up a big spike of probability into smaller ones (you can't convert a geometric with mean 0.25 into a Poisson with mean 10, for example)
Jan 25, 2022 at 10:08 answer added Tim timeline score: 3
Jan 25, 2022 at 9:14 comment added Xi'an Mathematically, the transform of $X\sim F$ into $Y\sim G$ can always be obtained by $$Y=G^{-1}(F(X))$$
Jan 25, 2022 at 8:18 comment added Suriya Kumar J S My intention is to know, why so much obsession over gaussian, and why not other distribution. Then, I know we can use box-cox transform to convert any unknown distribution to normal, is there any other transform to convert a Poisson-like distribution to an actual Poisson distribution
Jan 25, 2022 at 7:59 comment added Tim What is the problem you are trying to solve? Why do you bother about it being a Poisson distribution?
Jan 25, 2022 at 7:19 history asked Suriya Kumar J S CC BY-SA 4.0