Estimation of absolutely continuous distributions for censored variables in two-sample nonparametric and semi-parametric models
Pons, Odile
Bernoulli, Tome 13 (2007) no. 1, p. 92-113 / Harvested from Project Euclid
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This paper considers the estimation of the density of an absolutely continuous distribution with respect to an unknown baseline distribution F, and the estimation of F, from censored observations. For parametric and nonparametric densities, an n1/2-consistent estimator of F is defined from the two samples and the asymptotic distribution of the estimators is studied. The efficient score functions and the minimal variances of the estimators are established.
Publié le : 2007-02-14
Classification:  absolutely continuous distributions,  censoring,  efficiency,  nonparametric estimation 
@article{1175287722,
     author = {Pons, Odile},
     title = {Estimation of absolutely continuous distributions for censored variables in two-sample nonparametric and semi-parametric models},
     journal = {Bernoulli},
     volume = {13},
     number = {1},
     year = {2007},
     pages = { 92-113},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1175287722}
}

Pons, Odile. Estimation of absolutely continuous distributions for censored variables in two-sample nonparametric and semi-parametric models. Bernoulli, Tome 13 (2007) no. 1, pp.  92-113. http://gdmltest.u-ga.fr/item/1175287722/