Explore: Jackknife (statistics)

In statistics, the jackknife (jackknife cross-validation) is a cross-validation technique and, therefore, a form of resampling. It is especially useful

for generating counterfactual samples Bootstrapping Cross validation Jackknife Permutation tests rely on resampling the original data assuming the null

up jackknife or jack-knife in Wiktionary, the free dictionary. Jackknife may refer to: Pocketknife or jackknife, a compact, foldable knife Jackknife Bar

least squares Itô calculus Itô isometry Itô's lemma Jaccard index Jackknife (statistics) Jackson network Jackson's theorem (queueing theory) Jadad scale

methods using sampling with replacement compared to prior methods like the jackknife that sample without replacement. However, since its introduction, numerous

In descriptive statistics, summary statistics are used to summarize a set of observations, in order to communicate the largest amount of information as

Bond, a lottery bond issued in the United Kingdom. In 1958, John Tukey’s jackknife was developed. It is as a method to reduce the bias of parameter estimates

Convergence of random variables Computational statistics Markov chain Monte Carlo Bootstrapping (statistics) Jackknife resampling Integrated nested Laplace approximations

Jackknife, the Bootstrap and other Resampling Plans. Philadelphia: SIAM. ISBN 0898711797. Shao, J.; Wu, C. F. (1989). "A General Theory for Jackknife

specialised terminology and methodology: Bootstrap / jackknife resampling Multivariate statistics Statistical classification Structured data analysis Structural