Censored Data and the Bootstrap

作者：Bradley Efron · 发表于：Journal of the American Statistical Association · 年份：1981 · DOI：10.1080/01621459.1981.10477650 · 被引用次数：654 · 研究领域：Statistical Distribution Estimation and Applications、Advanced Statistical Methods and Models、Statistical Methods and Inference

This article concerns setting standard errors and confidence intervals for the parameters of an unknown distribution when the data is subject to right censoring. The bootstrap, which is an elaboration of the jackknife, provides a general method for answering such questions. The validity of bootstrap methods is investigated using real data, computer simulations, and, in the final section, brief theoretical considerations.