Blowing number of a distribution for a statistics and loyal estimators

Ph. Barbe and M. Broniatowski

Statistics & Probability Letters, 2004, vol. 69, issue 4, 465-475

Abstract: This paper defines the blowing number, which counts the number of data points necessary to destabilize a statistic under a given sampling scheme. Its calculation is completed for many statistics, shading a new light on their sampling properties.

Keywords: Sampling; Outliers; Fixed; size; asymptotics (search for similar items in EconPapers)
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(04)00200-7
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:69:y:2004:i:4:p:465-475

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 ().