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Modelling techniques for compositional data using distributions defined on the hypersphere

Scealy, Janice Lea


Compositional data can be transformed to directional data by the square root transformation and then modelled using distributions defined on the hypersphere. The purpose of this thesis is to investigate new modelling techniques for a general p-dimensional compositional data vector using this square root transformation approach. One advantage is that zero components are catered for naturally in the models. The Kent distribution for directional data is a good candidate model because it has a...[Show more]

CollectionsOpen Access Theses
Date published: 2010
Type: Thesis (PhD)
DOI: 10.25911/5d5fcb9037343
Access Rights: Open Access


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