On the matching noise of some nonparametric imputation procedures

Daniela Marella, Mauro Scanu and Pier Luigi Conti

Statistics & Probability Letters, 2008, vol. 78, issue 12, 1593-1600

Abstract: The aim of the paper is to evaluate the matching noise produced by nonparametric imputation techniques referring to the kNN method, both with fixed and variable number of donors k. The matching noise is evaluated formally and via a simulation.

Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(08)00016-3
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:78:y:2008:i:12:p:1593-1600

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 ().