A multivariate statistical approach to the assessment of nutrition status

 

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dc.contributor.advisor Troskie, Casper G en_ZA
dc.contributor.author Fellingham, Stephen Arthur en_ZA
dc.date.accessioned 2016-03-14T07:15:08Z
dc.date.available 2016-03-14T07:15:08Z
dc.date.issued 1972 en_ZA
dc.identifier.citation Fellingham, S. 1972. A multivariate statistical approach to the assessment of nutrition status. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/17702
dc.description Typescript (photocopy). en_ZA
dc.description.abstract Attention is drawn to the confusion which surrounds the concept of nutrition status and the problem of selecting an optimum subset of variables by which nutrition status can best be assessed is defined. Using a multidisciplinary data set of some 60 variables observed on 1898 school children from four racial groups, the study aims to identify statistically, both those variables which are unrelated to nutrition status and also those which, although related, are so highly correlated that the measurement of all would be an unnecessary extravagance. It is found that, while the somatometric variables provide a reasonably good (but non-specific) estimate of nutrition status, the disciplines form meaningful groups and the variables of the various disciplines tend to supplement rather than replicate each other. Certain variables from most of the disciplines are, therefore, necessary for an optimum and specific estimate of nutrition status. Both the potential and the shortcomings of a number of statistical techniques are demonstrated. en_ZA
dc.language.iso eng en_ZA
dc.subject.other Statistical Sciences en_ZA
dc.subject.other Nutrition en_ZA
dc.title A multivariate statistical approach to the assessment of nutrition status en_ZA
dc.type Doctoral Thesis
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Science en_ZA
dc.publisher.department Department of Statistical Sciences en_ZA
dc.type.qualificationlevel Doctoral
dc.type.qualificationname PhD en_ZA
uct.type.filetype Text
uct.type.filetype Image
dc.identifier.apacitation Fellingham, S. A. (1972). <i>A multivariate statistical approach to the assessment of nutrition status</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Statistical Sciences. Retrieved from http://hdl.handle.net/11427/17702 en_ZA
dc.identifier.chicagocitation Fellingham, Stephen Arthur. <i>"A multivariate statistical approach to the assessment of nutrition status."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 1972. http://hdl.handle.net/11427/17702 en_ZA
dc.identifier.vancouvercitation Fellingham SA. A multivariate statistical approach to the assessment of nutrition status. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 1972 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/17702 en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Fellingham, Stephen Arthur AB - Attention is drawn to the confusion which surrounds the concept of nutrition status and the problem of selecting an optimum subset of variables by which nutrition status can best be assessed is defined. Using a multidisciplinary data set of some 60 variables observed on 1898 school children from four racial groups, the study aims to identify statistically, both those variables which are unrelated to nutrition status and also those which, although related, are so highly correlated that the measurement of all would be an unnecessary extravagance. It is found that, while the somatometric variables provide a reasonably good (but non-specific) estimate of nutrition status, the disciplines form meaningful groups and the variables of the various disciplines tend to supplement rather than replicate each other. Certain variables from most of the disciplines are, therefore, necessary for an optimum and specific estimate of nutrition status. Both the potential and the shortcomings of a number of statistical techniques are demonstrated. DA - 1972 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1972 T1 - A multivariate statistical approach to the assessment of nutrition status TI - A multivariate statistical approach to the assessment of nutrition status UR - http://hdl.handle.net/11427/17702 ER - en_ZA


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