Estimating Usual Dietary Intake Distributions: Adjusting for Measurement Error and Nonnormality in 24-Hour Food Intake Data
Sarah Nusser,
Wayne Fuller and
Patricia Guenther
Center for Agricultural and Rural Development (CARD) Publications from Center for Agricultural and Rural Development (CARD) at Iowa State University
Abstract:
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. Published in Survey Measurement and Process Quality, ed. by Lyberg et al.. John Wiley & Sons. Chapter 30:689-709, 1997. (Replaces 95-SR 80.)
Date: 1995-12
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Persistent link: https://EconPapers.repec.org/RePEc:ias:cpaper:95-sr80
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