EconPapers    
Economics at your fingertips  
 

Rank regression with estimated scores

Joshua D. Naranjo and Joseph W. McKean

Statistics & Probability Letters, 1997, vol. 33, issue 2, 209-216

Abstract: Rank-based estimates are asymptotically efficient when optimal scores are used. This paper describes a method for estimating the optimal score function based on residuals from an initial fit. The resulting adaptive estimate is shown to be asymptotically efficient.

Keywords: Rank; regression; Score; estimation; Adaptive; estimate; Asymptotic; efficiency (search for similar items in EconPapers)
Date: 1997
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(97)00129-6
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:33:y:1997:i:2:p:209-216

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

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:33:y:1997:i:2:p:209-216