I have an unnormalized array of counts for a probability mass function (derived from sampling from the true function). The array should be indexed from 0. 12 is the number of times a 0 occurred in the sample. 199 is the number of times a 1 occurred etc. counts = [12, 199, 3125, 29616, 175426, 66…

Eg the first one: f = [12, 199, 3125, 29616, 175426, 662401, 1608671, 2477850, 2441350, 1580290, 709625, 235426, 60899, 12643, 2126, 296, 41, 4, 0, 0] x = 0:(length(counts)-1) using StatsBase μ, σ = mean_and_std(x, Weights(f); corrected = false)

How to fit a normal approximation to data in Julia

Specific Domains Statistics

lesshaste February 23, 2020, 9:35am 3

Thank you. I am brand new to Julia so could you possibly include some code I can learn from please?

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How to fit a normal approximation to data in Julia

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