Estimating Usual Dietary Intake Distributions: Adjusting for Measurement Error and Nonnormality in 24-Hour Food Intake Data
提出一种方法，用于从存在较大测量误差且混合了单值分布和连续单峰分布的数据中，估计不可观测随机变量的分布，需要部分受试者至少两次阳性摄入记录以估计测量误差的方差成分。
The authors have developed a method for estimating the distribution of an unobservable random variable from data that are subject to considerable measurement error and that arise from a mixture of two populations, one having a single-valued distribution and the other having a continuous unimodal distribution. The method requires that at least two positive intakes be recorded for a subset of the subjects in order to estimate the variance components for the measurement error model.