Abstract
We consider the problem of estimation of a joint distribution function of a multivariate random vector with interval-censored data. The generalized maximum likelihood estimator of the distribution function is studied and its consistency and asymptotic normality are established under the case 2 multivariate interval censorship model and discrete assumptions on the censoring random vectors. © 1999 Academic Press.
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Wong, G. Y. C., & Yu, Q. (1999). Generalized MLE of a Joint Distribution Function with Multivariate Interval-Censored Data. Journal of Multivariate Analysis, 69(2), 155–166. https://doi.org/10.1006/jmva.1998.1807
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