Figure 1
From: Thinking outside the curve, part I: modeling birthweight distribution
Four-Component Mixture Models for Birthweight Distribution. (a) A 4-component normal mixture model for birthweight distribution, with parameters estimated using a single sample of size 50000 from the population of white singletons born to heavily smoking mothers, is shown superimposed against a histogram of the 50000 birthweights. (b) A 4-component normal mixture model, with parameters estimated by combining the results for 25 samples of size 50000, is shown.