Bootstrap confidence intervals: Good or bad?
Bootstrap confidence intervals: Good or bad?
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自举置信区间：好还是坏？
DOI：
10.1037/0033-2909.104.2.293
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发表时间：
1988
影响因子：
22.4
通讯作者：
B. Efron
中科院分区：
文献类型：
--
作者：
B. Efron
引导程序是一种用于估计标准误差和近似置信区间的非参数技术。 Rasmussen 使用模拟实验表明，自举置信区间在相关系数的估计中表现非常差。拉斯穆森的部分模拟被重复。仔细查看结果表明引导间隔表现得相当好。对引导区间的优点和缺陷进行了一些评论。（PsycINFO 数据库记录 (c) 2016 APA，保留所有权利）
The bootstrap is a nonparametric technique for estimating standard errors and approximate confidence intervals. Rasmussen has used a simulation experiment to suggest that bootstrap confidence intervals perform very poorly in the estimation of a correlation coefficient. Part of Rasmussen's simulation is repeated. A careful look at the results shows the bootstrap intervals performing quite well. Some remarks are made concerning the virtues and defects of bootstrap intervals in general.(PsycINFO Database Record (c) 2016 APA, all rights reserved)