Regression model
Bootstrap Inference
Bootstrap inference, introduced by Bradley Efron in 1979, estimates the sampling distribution of a statistic by repeatedly resampling the observed data with replacement. It requires no distributional assumption and produces reliable confidence intervals even in small samples.
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Method map
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来源
- Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI: 10.1214/aos/1176344552 ↗
- Efron, B. & Tibshirani, R. J. (1993). An Introduction to the Bootstrap. Chapman & Hall/CRC Press. ISBN: 978-0412042317
如何引用本页
ScholarGate. (2026, June 1). Bootstrap Resampling Inference. ScholarGate. https://scholargate.app/zh/statistics/bootstrap-inference
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.
- Jackknife Resampling统计学↔ compare
- 置换 (随机化) 检验统计学↔ compare
- 稳健相关（Spearman、Kendall和双权重）统计学↔ compare
- Yuen's检验 (截尾均值检验)统计学↔ compare
- 温莎化估计统计学↔ compare
被引用于
经调整的箱线图（Adjusted Boxplot）贝叶斯自助法（Bayesian Bootstrap，由 Rubin 提出）BCa Bootstrap（偏差校正和加速法）块自举（移动块和固定块）Bootstrap DEA：效率得分的偏差校正与置信区间断点分析链梯法损失准备金评估（Mack模型）双重（迭代）自助法Jackknife ResamplingLevene 和 Brown-Forsythe 方差齐性检验参数自举法置换 (随机化) 检验Fisher精确随机推断稳健方差分析（Welch & Trimmed Mean）Theil-Sen 估计器时间序列交叉验证（滚动/扩展窗口）Wild Bootstrap for Regression Inference