方法证据记录
Jackknife
The jackknife is a classical resampling method that estimates the bias and variance of a statistic by systematically recomputing it with one observation left out at a time. Introduced by Quenouille in 1956 and later reviewed by Miller in 1974, it predates the bootstrap and remains a simple, deterministic tool for assessing estimator stability.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Jackknife Resampling
分类方法记录 · regression-model / statistics
- Quenouille, M. H. (1956). Notes on Bias in Estimation. Biometrika, 43(3/4), 353-360. · DOI 10.1093/biomet/43.3-4.353
- Miller, R. G. (1974). The Jackknife — A Review. Biometrika, 61(1), 1-15. · DOI 10.1093/biomet/61.1.1
精选声明
声明已持久化到证据分类账中，每个声明都有自己的评估。
尚无精选声明
当分类账中没有声明时，此视图不会自行创建声明评估。
相关方法
从方法图中生成，显示为机器建议的关系 — 不推断任何证据声明。