Najla M. Qarmalah
k-Boxplots for mixture data
Qarmalah, Najla M.; Einbeck, Jochen; Coolen, Frank P.A.
Authors
Professor Jochen Einbeck jochen.einbeck@durham.ac.uk
Professor
Professor Frank Coolen frank.coolen@durham.ac.uk
Professor
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.
Citation
Qarmalah, N. M., Einbeck, J., & Coolen, F. P. (2018). k-Boxplots for mixture data. Statistical Papers, 59(2), 513-528. https://doi.org/10.1007/s00362-016-0774-7
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 |
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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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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
Advance online version
Published Journal Article
(972 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
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