Compositional observations and their role in regression

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dc.contributor.authorSpracklen, Callumen_ZA
dc.date.accessioned2018-05-25T07:45:09Z
dc.date.available2018-05-25T07:45:09Z
dc.date.issued2018en_ZA
dc.description.abstractThis dissertation examines the properties and some of the uses of compositional data. It gives a brief history of the distinction between 'normal' data and compositions, as well as the various methods of analysing compositional data. It is mainly concerned with performing regression analysis including compositions. In order to model a composition it is necessary to understand the nature of compositions and how to use standard statistical tools with them. This dissertation describes the simplex and several functions which can be performed in it, as well as introducing several useful covariate structures for compositional samples after transformation. It also introduces the transformations between the simplex and unconstrained real space. The dissertation concludes with four examples of regression analyses involving compositions.en_ZA
dc.identifier.apacitationSpracklen, C. (2018). <i>Compositional observations and their role in regression</i>. (Thesis). University of Cape Town ,Faculty of Commerce ,Division of Actuarial Science. Retrieved from http://hdl.handle.net/11427/28125en_ZA
dc.identifier.chicagocitationSpracklen, Callum. <i>"Compositional observations and their role in regression."</i> Thesis., University of Cape Town ,Faculty of Commerce ,Division of Actuarial Science, 2018. http://hdl.handle.net/11427/28125en_ZA
dc.identifier.citationSpracklen, C. 2018. Compositional observations and their role in regression. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Spracklen, Callum AB - This dissertation examines the properties and some of the uses of compositional data. It gives a brief history of the distinction between 'normal' data and compositions, as well as the various methods of analysing compositional data. It is mainly concerned with performing regression analysis including compositions. In order to model a composition it is necessary to understand the nature of compositions and how to use standard statistical tools with them. This dissertation describes the simplex and several functions which can be performed in it, as well as introducing several useful covariate structures for compositional samples after transformation. It also introduces the transformations between the simplex and unconstrained real space. The dissertation concludes with four examples of regression analyses involving compositions. DA - 2018 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2018 T1 - Compositional observations and their role in regression TI - Compositional observations and their role in regression UR - http://hdl.handle.net/11427/28125 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/28125
dc.identifier.vancouvercitationSpracklen C. Compositional observations and their role in regression. [Thesis]. University of Cape Town ,Faculty of Commerce ,Division of Actuarial Science, 2018 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/28125en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDivision of Actuarial Scienceen_ZA
dc.publisher.facultyFaculty of Commerceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherActuarial Scienceen_ZA
dc.titleCompositional observations and their role in regressionen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMComen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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