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Fitting Kent models to compositional data with small concentration

Scealy, Janice; Welsh, Alan


Compositional data can be transformed to directional data by the square root transformation and then modelled by using the Kent distribution. The current approach for estimating the parameters in the Kent model for compositional data relies on a large concentration assumption which assumes that the majority of the transformed data is not distributed too close to the boundaries of the positive orthant. When the data is distributed close to the boundaries with large variance significant folding...[Show more]

CollectionsANU Research Publications
Date published: 2014
Type: Journal article
Source: Statistics and Computing
DOI: 10.1007/s11222-012-9361-5


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