EconPapers    
Economics at your fingertips  
 

On error bounds for high-dimensional asymptotic distribution of L2-type test statistic for equality of means

Masashi Hyodo, Takahiro Nishiyama and Tatjana Pavlenko

Statistics & Probability Letters, 2020, vol. 157, issue C

Abstract: Two new asymptotic approximations for the distribution of Chen and Qin’s statistic are derived and their explicit error bounds are established. The proposed approximations are shown to be far more accurate than the conventional normal limits in large-p-small-n settings which is successfully approved by the numerical experiments.

Keywords: Convergence rate; Normal approximation; Chi-squared approximation; Higher order Edgeworth expansion (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715219302834
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:157:y:2020:i:c:s0167715219302834

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

DOI: 10.1016/j.spl.2019.108637

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:157:y:2020:i:c:s0167715219302834