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dc.contributor.authorStoyanov, Stefan Kremenov
dc.date.accessioned2009-04-27T22:20:13Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2009-04-27T22:20:13Z
dc.date.issued2008
dc.identifier.urihttp://hdl.handle.net/10179/767
dc.description.abstractThe estimation of the distribution of usual intake of nutrients is important for developing nutrition policies as well as for etiological research and educational purposes. In most nutrition surveys only a small number of repeated intake observations per individual are collected. Of main interest is the longterm usual intake which is defined as long-term daily average intake of a dietary component. However, dietary intake on a single day is a poor estimate of the individual’s long-term usual intake. Furthermore, the distribution of individual intake means is also a poor estimator of the distribution of usual intake since usually there is large within-individual compared to between-individual variability in the dietary intake data. Hence, the variance of the mean intakes is larger than the variance of the usual intake distribution. Essentially, the estimation of the distribution of long-term intake is equivalent to the estimation of a distribution of a random variable observed with measurement error. Some of the methods for estimating the distributions of usual dietary intake are reviewed in detail and applied to nutrient intake data in order to evaluate their properties. The results indicate that there are a number of robust methods which could be used to derive the distribution of long-term dietary intake. The methods share a common framework but differ in terms of complexity and assumptions about the properties of the dietary consumption data. Hence, the choice of the most appropriate method depends on the specific characteristics of the data, research purposes as well as availability of analytical tools and statistical expertise.en_US
dc.language.isoenen_US
dc.publisherMassey Universityen_US
dc.rightsThe Authoren_US
dc.subjectStatistical methodsen_US
dc.subjectEstimatesen_US
dc.subjectFood intake distributionsen_US
dc.subject.otherFields of Research::230000 Mathematical Sciences::230200 Statistics::230204 Applied statisticsen_US
dc.titleAn investigation of the methods for estimating usual dietary intake distributions : a thesis presented in partial fulfillment of the requirements for the degree of Master of Applied Statistics at Massey University, Albany, New Zealanden_US
dc.typeThesisen_US
thesis.degree.disciplineApplied Statisticsen_US
thesis.degree.grantorMassey Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Applied Statistics (M. Appl. Stat.)en_US


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