Jackknife resampling

（重定向自Jackknife method）

In statistics, the jackknife is a resampling technique especially useful for variance and bias estimation. The jackknife predates other common resampling methods such as the bootstrap. The jackknife estimator of a parameter is found by systematically leaving out each observation from a dataset and calculating the estimate and then finding the average of these calculations. Given a sample of size $N$ , the jackknife estimate is found by aggregating the estimates of each $N-1$ estimate in the sample.

单词	Jackknife method
释义	Jackknife method 英语百科 Jackknife resampling （重定向自Jackknife method） In statistics, the jackknife is a resampling technique especially useful for variance and bias estimation. The jackknife predates other common resampling methods such as the bootstrap. The jackknife estimator of a parameter is found by systematically leaving out each observation from a dataset and calculating the estimate and then finding the average of these calculations. Given a sample of size $N$ , the jackknife estimate is found by aggregating the estimates of each $N-1$ estimate in the sample.
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