Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/36478
Title: Quantiles of the conditional residual lifetime
Authors: ABRAMS, Steven 
JANSSEN, Paul 
VERAVERBEKE, Noel 
Issue Date: 2021
Publisher: TAYLOR & FRANCIS LTD
Source: Statistics (Berlin), 55 (6) , p. 1271-1290
Abstract: The study of the residual lifetime received considerable attention in survival analysis and in other disciplines like reliability theory and actuarial science. The quantile residual lifetime function, the inverse of the residual lifetime distribution P(T-1 - t(1) <= y vertical bar T-1 > t(1)), provides an interesting and well-studied measure to analyse residual lifetimes. In this paper we generalize the residual lifetime distribution and the quantile residual lifetime function by adding an extra conditioning of the form {T-2 <= t(2)} or {T-2 > t(2)}, where T-2 is a second variable containing extra information on T-1. Wepropose, for right-censored lifetimes, nonparametric estimators for this generalized conditional remaining lifetime distribution and the corresponding quantile function and we derive the asymptotic theory. In a simulation study, we show the good performance of the newly proposed quantile estimators and we discuss an application to real data on primary biliary cirrhosis.
Notes: Abrams, S (corresponding author), Univ Hasselt, Data Sci Inst DSI, Interuniv Inst Biostat & Stat Bioinformat I BioSt, Diepenbeek, Belgium.
steven.abrams@uhasselt.be
Keywords: Asymptotic representation;bivariate distribution;conditional residual lifetime;quantiles;right censoring
Document URI: http://hdl.handle.net/1942/36478
ISSN: 0233-1888
e-ISSN: 1029-4910
DOI: 10.1080/02331888.2021.2006661
ISI #: 000727198200001
Rights: 2021 Informa UK Limited, trading as Taylor & Francis Group
Category: A1
Type: Journal Contribution
Validations: ecoom 2022
Appears in Collections:Research publications

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