Model checks under random censorship

A. Nikabadze and W. Stute

Statistics & Probability Letters, 1997, vol. 32, issue 3, 249-259

Abstract: Let denote a parametric family of lifetime distributions on the real line. For a given sample of possibly censored data from an unknown distribution function F, we consider the Kaplan-Meier process with estimated parameters. It constitutes the basic tool for checking the hypothesis . Since for testing purposes this process is intractable in practice we propose to transform it to another one from which (asymptotically) distribution-free full model checks are readily available.

Keywords: Random; censorship; Model; check; Distribution-free; test (search for similar items in EconPapers)
Date: 1997
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(96)00081-8
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:32:y:1997:i:3:p:249-259

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 ().