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k-Boxplots for mixture data

Qarmalah, Najla M.; Einbeck, Jochen; Coolen, Frank P.A.

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Authors

Najla M. Qarmalah



Abstract

This article introduces a new graphical tool to summarize data which possess a mixture structure. Computation of the required summary statistics makes use of posterior probabilities of class membership which can be obtained from a fitted mixture model. Real and simulated data are used to highlight the usefulness of this tool for the visualization of mixture data in comparison to the traditional boxplot.

Journal Article Type Article
Acceptance Date Apr 21, 2016
Online Publication Date May 9, 2016
Publication Date Jun 1, 2018
Deposit Date May 10, 2016
Publicly Available Date May 13, 2016
Journal Statistical Papers
Print ISSN 0932-5026
Electronic ISSN 1613-9798
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 59
Issue 2
Pages 513-528
DOI https://doi.org/10.1007/s00362-016-0774-7
Public URL https://durham-repository.worktribe.com/output/1384813

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Copyright Statement
© The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution,
and reproduction in any medium, provided you give appropriate credit to the original author(s) and the
source, provide a link to the Creative Commons license, and indicate if changes were made.






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