In statistics, resampling is the creation of new samples based on one observed sample. Resampling methods are: Permutation tests (also re-randomization...

up resampling in Wiktionary, the free dictionary. Resampling may refer to: Resampling (audio), several related audio processes Resampling (statistics),...

Bootstrapping is a procedure for estimating the distribution of an estimator by resampling (often with replacement) one's data or a model estimated from the data...

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

Resampled efficient frontier is a technique in investment portfolio construction under modern portfolio theory to use a set of portfolios and then average...

deviation). The packages S, S-PLUS, and R included routines using resampling statistics, such as Quenouille and Tukey's jackknife and Efron's bootstrap...

interval Parametric statistics Resampling (statistics) Semiparametric model "All of Nonparametric Statistics". Springer Texts in Statistics. 2006. doi:10.1007/0-387-30623-4...

studied evolves over time, invalidating the model) Overfitting Resampling (statistics) Supervised learning Training, validation, and test sets Shachar...

Official statistics Ratio estimator Replication (statistics) Random-sampling mechanism Resampling (statistics) Pseudo-random number sampling Sample size determination...

Percentage point Permutation test – redirects to Resampling (statistics) Pharmaceutical statistics Phase dispersion minimization Phase-type distribution...

(unsigned). This is an optimal stop problem, a classic in decision theory, statistics and applied probabilities, where a random permutation is gradually revealed...

V/(1 − k)2, where V is the estimate given by the BRR formula above. Resampling (statistics) "Balanced Repeated Replication". am.air.org. Retrieved 2025-05-08...

1960.10482056. Efron, B. (1982). The Jackknife, the Bootstrap and other Resampling Plans. Philadelphia: SIAM. ISBN 0898711797. Shao, J.; Wu, C. F. (1989)...

it can be mitigated by including a resampling step before the weights become uneven. Several adaptive resampling criteria can be used including the variance...

in terms of compatibility with the observed sample. In this framework, resampling methods are aimed at generating a set of candidate values to replace the...

term 'Computational statistics' may also be used to refer to computationally intensive statistical methods including resampling methods, Markov chain...

In statistics, the bootstrap error-adjusted single-sample technique (BEST or the BEAST) is a non-parametric method that is intended to allow an assessment...

expressed in terms of a long-run frequency in repeated samples (or in resampling): "Were this procedure to be repeated on numerous samples, the proportion...

variances include the Box test, the Box–Anderson test and the Moses test. Resampling methods, which include the bootstrap and the jackknife, may be used to...

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

prediction. De Finetti theorem Hewitt-Savage zero-one law Resampling Resampling (statistics) § Permutation tests, statistical tests based on exchanging...

In statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data. Although...

KALMANSAC – causal inference of the state of a dynamical system Resampling (statistics) Hop-Diffusion Monte Carlo uses randomized sampling involve global...

Biostatistics (also known as biometry) is a branch of statistics that applies statistical methods to a wide range of topics in biology. It encompasses...

In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations. In statistical surveys, when...

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

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

variance Rankit Resampling (statistics) Seriation (statistics) Golomb–Dickman constant Random permutation Random permutation statistics Change ringing...

"Randomization-based statistical inference: A resampling and simulation infrastructure". Teaching Statistics. 40 (2): 64–73. doi:10.1111/test.12156. PMC 6155997...

observed frequencies would be assuming the null hypothesis is true. Test statistics that follow a χ2 distribution occur when the observations are independent...