Estimation of a Bivariate Distribution Function Under Random Censorship
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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.
高维稀疏组卷积平滑分位数回归
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