Hypothesis test
刀切法估计
刀切法估计是一种经典的重采样技术，它通过系统地逐个剔除观测值并对每个缩减样本重新计算统计量来计算统计估计量的偏差和方差。该方法由 Maurice Quenouille 于 1956 年提出用于偏差校正，并由 John Tukey 于 1958 年扩展并命名。它是自助法（bootstrap）的历史前身，对于光滑、可微的估计量，它仍然具有解析上的可处理性。
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来源
- Quenouille, M. H. (1956). Notes on Bias in Estimation. Biometrika, 43(3/4), 353–360. DOI: 10.1093/biomet/43.3-4.353 ↗
- Tukey, J. W. (1958). Bias and Confidence in Not Quite Large Samples. Annals of Mathematical Statistics, 29(2), 614. link ↗
如何引用本页
ScholarGate. (2026, June 1). Jackknife Resampling Estimation. ScholarGate. https://scholargate.app/zh/statistics/jackknife-estimation
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