Determining the Socio-Economic Classes Using Principal Component Analysis Based on Binary Data
dc.contributor.advisor | Leo Odongo | en_US |
dc.contributor.advisor | Anthony Gichangi | en_US |
dc.contributor.author | Nasokho, Ruth Simuli | |
dc.date.accessioned | 2024-06-04T10:00:13Z | |
dc.date.available | 2024-06-04T10:00:13Z | |
dc.date.issued | 2023-01 | |
dc.description | A Research Thesis Submitted in Partial Fulfillment of the Requirements for the Award of Degree of Master of Science in Biostatistics of the School of Pure And Applied Sciences, January 2023. | en_US |
dc.description.abstract | Abstract | en_US |
dc.description.sponsorship | Kenyatta University | en_US |
dc.identifier.uri | https://ir-library.ku.ac.ke/handle/123456789/28202 | |
dc.language.iso | en | en_US |
dc.publisher | Kenyatta University | en_US |
dc.subject | Socio-Economic Classes | en_US |
dc.subject | Principal Component Analysis Based on Binary Data | en_US |
dc.title | Determining the Socio-Economic Classes Using Principal Component Analysis Based on Binary Data | en_US |
dc.type | Thesis | en_US |
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