Abstract
In this paper, we propose a scale-scale plot to compare multivariate distributions. These scale-scale plots can be viewed as a multivariate analog of quantile-quantile plots and we illustrate their use as a visualization tool to validate distributional assumptions for multivariate data as well as to compare the distributions of two multivariate samples. We discuss some characterizations of the proposed plots under elliptically symmetric distributions and based on those results, propose some visual tests of location and scale as further applications of these scale-scale plots. For the test of location problem, we present a small power study using simulations.
Original language | English |
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Pages (from-to) | 1270-1289 |
Number of pages | 20 |
Journal | Communications in Statistics - Theory and Methods |
Volume | 51 |
Issue number | 5 |
Early online date | 2 May 2020 |
DOIs | |
Publication status | Published - 4 Mar 2022 |
Bibliographical note
Funding Information:This work is part of the first author’s Ph.D. thesis under the guidance of the second author. The thesis was completed at the School of Mathematics, University of Birmingham, UK. The authors would like to thank the referee, associate editor and the School of Mathematics, University of Birmingham, UK for support.
Publisher Copyright:
© 2020 Taylor & Francis Group, LLC.
Keywords
- Central rank regions
- elliptically symmetric distributions
- quantile quantile plots
- tests of location
- tests of scale
ASJC Scopus subject areas
- Statistics and Probability