Process / pipeline
自助法模拟——用于统计推断的经验重采样
自助法模拟由 Bradley Efron 于 1979 年提出，是一种基于模拟的推断方法，通过对观测数据进行有放回的重复抽样，来推导几乎任何统计量的抽样分布。由于它不需要参数分布假设，因此为连续、有序、二元和计数数据提供了一种稳健的、通用的替代方案，以替代分析置信区间和参数假设检验。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Efron, B. & Tibshirani, R.J. (1993). An Introduction to the Bootstrap. Chapman & Hall/CRC. DOI: 10.1201/9780429246593 ↗
- Davison, A.C. & Hinkley, D.V. (1997). Bootstrap Methods and their Application. Cambridge University Press. DOI: 10.1017/CBO9780511802843 ↗
如何引用本页
ScholarGate. (2026, June 1). Bootstrap Simulation (Bootstrap Resampling). ScholarGate. https://scholargate.app/zh/simulation/bootstrap-simulation
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
Compare side by side →