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A multivariate statistical approach to the assessment of nutrition status
Typescript (photocopy).
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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Department of Statistical Sciences
2016
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| _version_ | 1867611274844569600 |
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| access_status_str | Open Access |
| author | Fellingham, Stephen Arthur |
| author2 | Troskie, Casper G |
| author_browse | Fellingham, Stephen Arthur Troskie, Casper G |
| author_facet | Troskie, Casper G Fellingham, Stephen Arthur |
| author_sort | Fellingham, Stephen Arthur |
| collection | Thesis |
| description | Typescript (photocopy). |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/17702 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | Department of Statistical Sciences |
| publisherStr | Department of Statistical Sciences |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/17702 A multivariate statistical approach to the assessment of nutrition status Fellingham, Stephen Arthur Troskie, Casper G Statistical Sciences Nutrition Typescript (photocopy). 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. 2016-03-14T07:15:08Z 2016-03-14T07:15:08Z 1972 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/17702 eng application/pdf Department of Statistical Sciences Faculty of Science University of Cape Town |
| spellingShingle | Statistical Sciences Nutrition Fellingham, Stephen Arthur A multivariate statistical approach to the assessment of nutrition status |
| thesis_degree_str | Doctoral |
| title | A multivariate statistical approach to the assessment of nutrition status |
| title_full | A multivariate statistical approach to the assessment of nutrition status |
| title_fullStr | A multivariate statistical approach to the assessment of nutrition status |
| title_full_unstemmed | A multivariate statistical approach to the assessment of nutrition status |
| title_short | A multivariate statistical approach to the assessment of nutrition status |
| title_sort | multivariate statistical approach to the assessment of nutrition status |
| topic | Statistical Sciences Nutrition |
| url | http://hdl.handle.net/11427/17702 |
| work_keys_str_mv | AT fellinghamstephenarthur amultivariatestatisticalapproachtotheassessmentofnutritionstatus AT fellinghamstephenarthur multivariatestatisticalapproachtotheassessmentofnutritionstatus |