The constant-sum property given in Oller et al. (2004) for censoring models justifies the
use of a simplified likelihood to obtain the nonparametric maximum likelihood estimator of
the lifetime distribution. In this paper we study the relevance of the constant-sum property
in the identifiability of the lifetime distribution. ...»»»»
The constant-sum property given in Oller et al. (2004) for censoring models justifies the
use of a simplified likelihood to obtain the nonparametric maximum likelihood estimator of
the lifetime distribution. In this paper we study the relevance of the constant-sum property
in the identifiability of the lifetime distribution. We show that the lifetime distribution
is not identifiable outside the class of constant-sum models. We also show that the
lifetime probabilities assigned to the observable intervals are identifiable inside the class of
constant-sum models. We illustrate all these notions with several examples.^^^^
Tipo de documento:
Artículo
Indexación:
Indexat a SCOPUS
Indexat a WOS/JCR
Derechos:
(c) Oxford University Press, 2007
Tots els drets reservats
Citación Bibliográfica:
Oller Piquer, R., Gomez, G., & Calle Rosingana, M. L. (2007). Interval
censoring: Identifiability and the constant-sum property. Biometrika,
94/(1), 61-70.