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

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

individual observations with replacement ("case resampling" below) unlike subsampling, in which resampling is without replacement and is valid under much...

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

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

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

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

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

Itô isometry Itô's lemma Jaccard index Jackknife (statistics) – redirects to Resampling (statistics) Jackson network Jackson's theorem (queueing theory)...

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

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

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

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

distribution-free inference method of conformal prediction. Resampling Resampling (statistics) § Permutation tests, statistical tests based on exchanging...

V/(1 − k)2, where V is the estimate given by the BRR formula above. Resampling (statistics) Balanced Repeated Replication, from the American Institutes for...

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...

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

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

this case, some algorithms and null hypotheses have been proposed. Resampling (statistics) Permutation test J. Theiler; S. Eubank; A. Longtin; B. Galdrikian;...

while descriptive statistics (in the mass noun sense) is the process of using and analysing those statistics. Descriptive statistics is distinguished from...

distributional assumptions for the above methods are uncertain or violated, resampling methods allow construction of confidence intervals or prediction intervals...

In statistics, Cramér's V (sometimes referred to as Cramér's phi and denoted as φc) is a measure of association between two nominal variables, giving a...

Multivariate statistics is a subdivision of statistics encompassing the simultaneous observation and analysis of more than one outcome variable, i.e....

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...

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

Medical statistics (also health statistics) deals with applications of statistics to medicine and the health sciences, including epidemiology, public...

PMID 15641418. Preacher, Kristopher J.; Hayes, Andrew F. (2008). "Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator...

In descriptive statistics, the range of a set of data is size of the narrowest interval which contains all the data. It is calculated as the difference...

Practice of Resampling Statistics Basic research methods in social sciences: The art of empirical investigation, ISBN 0-394-32049-2 Resampling: A Better...