Classification trees as a tool for decomposing inequalities in under -five mortality in Ghana
| dc.contributor.author | Yeboah, Daniel | |
| dc.date.accessioned | 2014-10-20T14:55:53Z | |
| dc.date.accessioned | 2023-04-19T16:18:25Z | |
| dc.date.available | 2014-10-20T14:55:53Z | |
| dc.date.available | 2023-04-19T16:18:25Z | |
| dc.date.issued | 2014-10-20 | |
| dc.description | A thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology in partial fufillment of the requirement for the degree of M.phil Mathematical Statistics. | en_US |
| dc.description.abstract | The study explores the socio-economic and demographic inequalities that exist in under- ve mortality using Ghana DHS 2008 data.These inequalities were inves-tigated using Classi cation trees developed by Breiman et al (CART). The data was analyzed using the Rpart of the R software 3.01 At the end of the analysis, total number of children ever born by mothers, pre-ceding birth interval, region of residence, ethnicity, highest educational level and wealth index were identi ed to contribute positively to these inequalities in under- ve mortality. It was also observed that Sex of a child and whether a child was born by cesarean does not contribute to these inequalities in the under- ve mor-tality in the GDHS data. | en_US |
| dc.description.sponsorship | KNUST | en_US |
| dc.identifier.uri | https://ir.knust.edu.gh/handle/123456789/6635 | |
| dc.language.iso | en | en_US |
| dc.title | Classification trees as a tool for decomposing inequalities in under -five mortality in Ghana | en_US |
| dc.type | Thesis | en_US |
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