EconPapers    
Economics at your fingertips  
 

Some bounds for the error of an estimator of the hazard function with censored data

Qi-Hua Wang

Statistics & Probability Letters, 1999, vol. 44, issue 4, 319-326

Abstract: This paper considers the estimator of the hazard function with censored data due to Diehl and Stute [1988, Kernel density and hazard function estimation in the presence of censoring. J. Multivariate Anal. 25, 299-310] Counting process martingal techniques are used to obtain three bounds for the error of the estimator considered, a mean-square bound, a probability bound and an bound of -error.

Keywords: Counting; process; Hazard; function; Random; censorship (search for similar items in EconPapers)
Date: 1999
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(98)00233-8
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:44:y:1999:i:4:p:319-326

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:stapro:v:44:y:1999:i:4:p:319-326