Sequential confidence bands for densities under truncated and censored data

Liuquan Sun and Yong Zhou

Statistics & Probability Letters, 1998, vol. 40, issue 1, 31-41

Abstract: In this paper an asymptotic distribution is obtained for the maximal deviation between the kernel density estimator and the density when the data are subject to random left truncation and right censorship. Based on this result we propose a fully sequential procedure for constructing a fixed-width confidence band for the density on a finite interval and show that the procedure has the desired coverage probability asymptotically as the width of the band approaches zero.

Keywords: Truncated; censored; data; Density; estimation; Maximal; deviation; Asymptotic; distribution; Confidence; band; Sequential; estimation (search for similar items in EconPapers)
Date: 1998
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(98)00089-3
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:40:y:1998:i:1:p:31-41

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 ().