# Approximating a Numerically Computed Distribution

**URL:** <https://discourse.julialang.org/t/approximating-a-numerically-computed-distribution/77972>\
**Category:** Statistics\
**Created:** [March 16, 2022, 2:10pm UTC](https://discourse.julialang.org/t/approximating-a-numerically-computed-distribution/77972 "2022-03-16T14:10:44Z")\
**Posts on this page:** 1\
**Showing post:** 4

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**Author:** ![JeffreySarnoff](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/jeffreysarnoff/32/1980_2.png) [@JeffreySarnoff](https://discourse.julialang.org/u/JeffreySarnoff)\
**Post date:** [March 16, 2022, 7:32pm UTC](https://discourse.julialang.org/t/approximating-a-numerically-computed-distribution/77972/4 "2022-03-16T19:32:39Z")

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take a look at [Distributions.jl/stable/fit](https://juliastats.org/Distributions.jl/stable/fit/) and  
[how to fit a normal distribution](https://discourse.julialang.org/t/how-to-fit-a-normal-approximation-to-data-in-julia/35045/2)

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