Confidence interval construction in massive data sets

Kai Song, Xiaoyue Xie and Jian Shi

Communications in Statistics - Theory and Methods, 2024, vol. 53, issue 3, 1035-1048

Abstract: This paper treats the problem of constructing confidence interval with massive data. Two methods using the divide and conquer strategy are proposed. The corresponding hypothesis testing problem is also developed. Theoretical and numerical results are presented to illustrate their effectiveness.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2022.2100420 (text/html)
Access to full text is restricted to subscribers.

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:taf:lstaxx:v:53:y:2024:i:3:p:1035-1048

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2022.2100420

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().