Estimation of the true distribution of vitamin a intake by the unmixing algorithm

Abstract
This paper introduces a new biostatistical approach to the problems of estimating true values and approximating the distribution of true values from unreliable data.We present the basic rationale for the unmixing method and report on a simulation study of its properties in estimating the centiles of a skewed, outlier-prone class of distributions.We also present an application to highly skewed USDA vitamin A intake data, and a pseudo-code version of the unmixing algorithm that we hope will allow other researchers to experiment with it

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