k-Boxplots for mixture data

Najla M. Qarmalah, Jochen Einbeck () and Frank P. A. Coolen
Additional contact information
Najla M. Qarmalah: Durham University
Jochen Einbeck: Durham University
Frank P. A. Coolen: Durham University

Statistical Papers, 2018, vol. 59, issue 2, No 5, 513-528

Abstract: 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.

Keywords: Mixture models; Boxplot; Posterior probability; EM-algorithm (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s00362-016-0774-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:stpapr:v:59:y:2018:i:2:d:10.1007_s00362-016-0774-7

Ordering information: This journal article can be ordered from
http://www.springer. ... business/journal/362

DOI: 10.1007/s00362-016-0774-7

Access Statistics for this article

Statistical Papers is currently edited by C. Müller, W. Krämer and W.G. Müller

More articles in Statistical Papers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().