Some results on the convergence of conditional distributions
Shifeng Xiong and
Guoying Li
Statistics & Probability Letters, 2008, vol. 78, issue 18, 3249-3253
Abstract:
A new concept of convergence concerning random probability measure is introduced in order to discuss the weak consistency of the bootstrap distribution estimator. Some results on random probabilities and conditional distributions corresponding to the classical theorems are proved. Finally we study the consistency of bootstrap distribution estimators for ordered parameters.
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(08)00308-8
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:18:p:3249-3253
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 ().