Estimation of a Bivariate Distribution Function Under Random Censorship
随机删失下二元分布函数的估计
Estimators are proposed of the underlying distribution function of independent bivariate ran vectors which are subject to random right censorship in each coordinate. The estimators satisy the monotonicity requirements of a distribution function, are uniformly strongly consistent rate equal to that of the empirical distribution function and are fairly simple to compute.