EconPapers    
Economics at your fingertips  
 

A note on nonparametric estimation of copula-based multivariate extensions of Spearman’s rho

Ana Pérez and Mercedes Prieto-Alaiz

Statistics & Probability Letters, 2016, vol. 112, issue C, 41-50

Abstract: Schmid and Schmidt (2007) proposed copula-based nonparametric estimators for some multivariate extensions of Spearman’s rho. In this paper, we show that two of those estimators are inappropriate since they can take values out of the parameter space and we discuss alternative proposals.

Keywords: Spearman’s rho; Multivariate concordance; Empirical copula; Clayton copula; Gaussian copula (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715216000110
Full text for ScienceDirect subscribers only

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:eee:stapro:v:112:y:2016:i:c:p:41-50

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.spl.2016.01.015

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:stapro:v:112:y:2016:i:c:p:41-50