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Compositional observations and their role in regression

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 includi...

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Main Author: Spracklen, Callum
Format: Thesis
Language:English
Published: Division of Actuarial Science 2018
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access_status_str Open Access
author Spracklen, Callum
author_browse Spracklen, Callum
author_facet Spracklen, Callum
author_sort Spracklen, Callum
collection Thesis
description 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.
format Thesis
id oai:open.uct.ac.za:11427/28125
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:51:09.795Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2018
publishDateRange 2018
publishDateSort 2018
publisher Division of Actuarial Science
publisherStr Division of Actuarial Science
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/28125 Compositional observations and their role in regression Spracklen, Callum Actuarial Science 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. 2018-05-25T07:45:09Z 2018-05-25T07:45:09Z 2018 Master Thesis Masters MCom http://hdl.handle.net/11427/28125 eng application/pdf Division of Actuarial Science Faculty of Commerce University of Cape Town
spellingShingle Actuarial Science
Spracklen, Callum
Compositional observations and their role in regression
thesis_degree_str Master's
title Compositional observations and their role in regression
title_full Compositional observations and their role in regression
title_fullStr Compositional observations and their role in regression
title_full_unstemmed Compositional observations and their role in regression
title_short Compositional observations and their role in regression
title_sort compositional observations and their role in regression
topic Actuarial Science
url http://hdl.handle.net/11427/28125
work_keys_str_mv AT spracklencallum compositionalobservationsandtheirroleinregression