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Estimation of total time on test transforms and lorenz curves under random censorship 

Authors: MIKLOacuteS Csoumlrgo a;  SAacuteNDOR Csoumlrgo b; LAJOS Horvaacuteth b
Affiliations:   a Department of Mathematics and Statistics, Carleton university, Ottawa, Ontario, Canada
b Bolyai Insititue Szeged University, Hungary
DOI: 10.1080/02331888708801993
Publication Frequency: 6 issues per year
Published in: journal Statistics, Volume 18, Issue 1 1987 , pages 77 - 97
Formats available: PDF (English)
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Abstract

We initiate a nonparametric large sample estimation theory of total time on test transforms and LORENZ curves under random censorship from the right. We introduce appropriate functional estimators for these functions based on teh product-limit estimator and its quantile function and develop strong uniform consistency results and weak convergence theorems in the form of weak approximations by sequences of appropriate copies of the limiting GAUSSian processes. Our main technical tools are the CHIBISOV-O'REILLY theorems for the uniform product-limit and product-limit quantile processes which we establish here. These are of independent interest.
Keywords: Primary 62 G 05; secondary 60 F 17; Random censorship; weighted metrics; strong approximations; total time on test; Lorenz curve
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