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Estimation in the interval censoring model is considered. A class of smooth functionals is introduced, of which the mean is an example. We consider case 2, with two observation times for each unobservable event time, in the situation that the observation times cannot become arbitrarily close to each other. It is proved that the nonparametric maximum likelihood estimator of the functional asymptotically reaches the information lower bound.

More information Original publication

DOI

10.1111/1467-9574.00050

Type

Journal article

Publisher

Wiley

Publication Date

1997-07-01T00:00:00+00:00

Volume

51

Pages

201 - 219

Total pages

18