x̄ - > Gaussian dispersion

Gaussian dispersion is simple to appreciate with its two boundaries: the mean μ focuses it and the stdev σ spreads it. Nonetheless, what is its nearest comparable on a discrete limited (or semi-limited) area? It is likewise significant for me to keep up the "boundaries" σ and μ on this discretized (and possibly limited) space since I need to control its middle and spread.

PS: Going through the rundown of discrete likelihood dissemination, some resemble "discretized" Gaussians however their boundaries aren't exactly the middle and spread utilized in Gaussians.

In principle, you need a quadratic log-pmf, yet I don't believe that gives shut structures for the mean or difference, or for the quadratic coefficients regarding them. You appear to need the mean and standard deviation to be careful. Do you have some other limitations, for example, uphold on non-negative numbers? In any case, pick an enormous n, let Y∼Bin(n,12), and let X=μ+σn√(2Y−n) so X has discrete dissemination on n+1 potential qualities with the ideal mean and standard deviation and a near typical circulation.

Celebrating National Mathematics Day on 22nd December 2020 

 - Inspired by Physicist and Mathematician 

Carl Friedrich Gauss

By Bundesarchiv, Bild 183-S52480 / CC-BY-SA 3.0, CC BY-SA 3.0 de, Link

Gauss seated  "erroneous, biased, politically extreme"

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