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中文摘要：
研究带删失数据的回归模型．基于合成数据，运用加权Bootstrap方法获得回归系数样本分布的近似估计，并对一般权序列，证明了这种分布近似的有效性及回归系数的加权Bootstrap估计的相合性．据此构造回归系数的加权Bootstrap置信域．数值模拟结果表明，就覆盖率而言，加权Bootstrap置信域优于传统的渐近正态置信域．
英文摘要：
Regression model with censored data is studied. Based on synthetic data, weighted bootstrap is used to approximate the sample distribution of regression coefficient. For general choices of random weights, the validity of such a distribution approximation and the weak consistency of weighted bootstrap estimate to regression coefficient are established. A weighted bootstrap confidence interval for regression coefficient is then constructed. Simulation studies were conducted to compare the weighted bootstrap interval with the interval based on normal approximation and showed that the former is superior to the latter in terms of coverage probability.
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The reduction of the average width of confidence bands for an unknown continuous distribution functi
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