EconPapers    
Economics at your fingertips  
 

Parametric models as thin subsets of the space of distributions

Mario Antonio Gneri

Statistics & Probability Letters, 1999, vol. 43, issue 1, 1-3

Abstract: Hampel [1986, Robust Statistics. The Approach Based on Influence Functions. Wiley, New York], pointed out that: "Classical parametric statistics allows only a (very thin) low dimensional subset of all probability distributions - the parametric model". In this paper we give a formal support to this assertion.

Keywords: Prohorov; metric; Parametric; models; Empty; interior; sets (search for similar items in EconPapers)
Date: 1999
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(98)00203-X
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:43:y:1999:i:1:p:1-3

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:43:y:1999:i:1:p:1-3