Estimation of a bivariate distribution function from incomplete observations
- 1 January 1982
- journal article
- research article
- Published by Taylor & Francis in Communications in Statistics - Theory and Methods
- Vol. 11 (8) , 887-897
- https://doi.org/10.1080/03610928208828280
Abstract
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.Keywords
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