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Kaplan and Meier (1958) give a maximum likelihood estimator of the distribution function based on a univariate right censored sample-Here we investigate the extension of their results to the case of bivariate right censored samples. Following Efron (1967), we provide "self-consistent" estimators for the bivariate distribution function.
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