A Note on Strong Uniform Consistency of Kernel Estimators of Hazard Functions under Random Censorship

Biao Zhang
Additional contact information
Biao Zhang: University of Toledo, Department of Mathematics

A chapter in Lifetime Data: Models in Reliability and Survival Analysis, 1996, pp 395-399 from Springer

Abstract: Abstract Random censored data consist of i.i.d. pairs of observations (X i , δ i ), i = 1,..., n. If δ i = 0, X i denotes a censored observation, and if δ i = 1, X i , denotes a survival time, which is the variable of interest. In this paper, we apply the strong approximation technique to study strong uniform consistency for the kernel estimator of the hazard function of the survival times.

Date: 1996
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:sprchp:978-1-4757-5654-8_52

Ordering information: This item can be ordered from
http://www.springer.com/9781475756548

DOI: 10.1007/978-1-4757-5654-8_52

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().