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dc.contributor.authorMwai, Paul K
dc.date.accessioned2013-05-17T09:41:22Z
dc.date.available2013-05-17T09:41:22Z
dc.date.issued2005
dc.identifier.citationMaster of Science in Statisticsen
dc.identifier.urihttp://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/23771
dc.description.abstractIn this project I adapt principal component analysis as data driven procedure to study the variation among sixteen currencies given in Kenya shillings and to reveal any unsuspected relationship or pattern among them. Two components are extracted, the first component provided evidence of the joint movement of the currencies while the second component aided in interpretation of relationship exhibited by the currencies. SPSS (Version 10) is used for statistical analysis. The ideas are then programmed using Matlab software to confirm the results.en
dc.description.sponsorshipUniversity of Nairobien
dc.language.isoenen
dc.titleApplication of principal component analysis in Forex market variationsen
dc.typeThesisen
local.publisherDepartment of Mathematics University of Nairobien


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