Determining the Socio-Economic Classes Using Principal Component Analysis Based on Binary Data

dc.contributor.advisorLeo Odongoen_US
dc.contributor.advisorAnthony Gichangien_US
dc.contributor.authorNasokho, Ruth Simuli
dc.date.accessioned2024-06-04T10:00:13Z
dc.date.available2024-06-04T10:00:13Z
dc.date.issued2023-01
dc.descriptionA 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.abstractAbstracten_US
dc.description.sponsorshipKenyatta Universityen_US
dc.identifier.urihttps://ir-library.ku.ac.ke/handle/123456789/28202
dc.language.isoenen_US
dc.publisherKenyatta Universityen_US
dc.subjectSocio-Economic Classesen_US
dc.subjectPrincipal Component Analysis Based on Binary Dataen_US
dc.titleDetermining the Socio-Economic Classes Using Principal Component Analysis Based on Binary Dataen_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Determining of the Socio-economic....pdf
Size:
3.97 MB
Format:
Adobe Portable Document Format
Description:
Abstract
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: