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Jackknife resampling

In statistics, the jackknife (jackknife cross-validation) is a cross-validation technique and, therefore, a form of resampling. It is especially useful for bias and variance estimation. The jackknife pre-dates other common resampling methods such as the bootstrap. Given a sample of size n {\displaystyle n} , a jackknife estimator can be built by…

A simple example: mean estimation, Estimating the bias of an estimator & Overview

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A simple example: mean estimation

I.i.d.
1 related topics

Estimating the bias of an estimator

I.i.d.
1 related topics

Overview

StatisticsCross-validationResamplingBiasVariance
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A simple example: mean estimation

  • I.i.d. Independent and identically distributed random variables

Estimating the bias of an estimator

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Jackknife resampling

Nodes26
Edges25
Triples1
Avg. degree1.92
Density0.076923
Components1

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jackknife displaystyle estimator doi bias variance 10 bar jack estimation statistics technique mean resampling bootstrap estimate text one annals sample

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SubjectPredicateObjectConfidenceSrc
the bootstrapinstance ofThe jackknife pre-dates other common resampling methods0.80text

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