A metric for convergence in distribution
Suman Majumdar
Statistics & Probability Letters, 1999, vol. 42, issue 3, 239-247
Abstract:
Given two probability distributions on ,defines a metric for convergence in distribution. Theoretical properties and computational advantages (with potential applications) of [gamma] are discussed.
Keywords: Hellinger; affinity; Metric; Multivariate; normal; Weak; convergence (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)00190-4
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:42:y:1999:i:3:p:239-247
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 ().