Linear regression with doubly censored data
Zhang, Cun-Hui ; Li, Xin
Ann. Statist., Tome 24 (1996) no. 6, p. 2720-2743 / Harvested from Project Euclid
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Linear regression with doubly censored responses is considered. Buckley-James-Ritov-type estimators are proposed. Semiparametric information and projective scores are discussed. An expansion of the estimating equations is obtained under fairly general assumptions. Sufficient conditions are given for the asymptotic consistency and normality of the estimators.
Publié le : 1996-12-14
Classification:  Censored data,  estimating equation,  $M$-estimator,  asymptotic linearity,  consistency,  normality,  information operator,  efficiency,  survival function,  weak convergence,  62G05,  62G30,  62E20,  62G20 
@article{1032181177,
     author = {Zhang, Cun-Hui and Li, Xin},
     title = {Linear regression with doubly censored data},
     journal = {Ann. Statist.},
     volume = {24},
     number = {6},
     year = {1996},
     pages = { 2720-2743},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1032181177}
}

Zhang, Cun-Hui; Li, Xin. Linear regression with doubly censored data. Ann. Statist., Tome 24 (1996) no. 6, pp.  2720-2743. http://gdmltest.u-ga.fr/item/1032181177/