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Testing goodness of fit for a Zipf distribution (in Matlab)

. % Define the Zipf distribution N = 100; alpha = 1; % Shape parameter, 1.5 is apparently a good all-round value to start with x = 1:N-1; y_exp = 1./(x. … ^alpha); % A correct Zipf distribution % Create a noisy signal rng(42) noise = normrnd(0, 0.01, [1, N-1]); y_obs = y_exp + noise; % Plot our empirical frequency distribution alongside the Zipf distribution …
Coen Hacking's user avatar