EconPapers    
Economics at your fingertips  
 

RR-plot: a descriptive tool for regression observations

Xiaohui Liu and Yang He

Journal of Applied Statistics, 2020, vol. 47, issue 1, 76-90

Abstract: In this paper, we propose a regression depth versus regression depth plot, hereafter RR-plot, for regression observations based on the halfspace regression depth. Areas of application of this tool include: the visualization of hypothesis tests about regression coefficients, and of the comparison between regression observations from different models, etc. Some characterization theorems are also provided to address the rationale of this RR-plot.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/02664763.2019.1631268 (text/html)
Access to full text is restricted to subscribers.

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:taf:japsta:v:47:y:2020:i:1:p:76-90

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJAS20

DOI: 10.1080/02664763.2019.1631268

Access Statistics for this article

Journal of Applied Statistics is currently edited by Robert Aykroyd

More articles in Journal of Applied Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:japsta:v:47:y:2020:i:1:p:76-90