In statistics, resampling is the creation of new samples based on one observed sample. Resampling methods are: Permutation tests (also re-randomization...
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In statistics, the jackknife (jackknife cross-validation) is a cross-validation technique and, therefore, a form of resampling. It is especially useful...
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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...
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up resampling in Wiktionary, the free dictionary. Resampling may refer to: Resampling (audio), several related audio processes Resampling (statistics),...
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interval Parametric statistics Resampling (statistics) Semiparametric model "All of Nonparametric Statistics". Springer Texts in Statistics. 2006. doi:10.1007/0-387-30623-4...
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Itô isometry Itô's lemma Jaccard index Jackknife (statistics) – redirects to Resampling (statistics) Jackson network Jackson's theorem (queueing theory)...
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Exploratory data analysis (redirect from Exploratory statistics)
deviation). The packages S, S-PLUS, and R included routines using resampling statistics, such as Quenouille and Tukey's jackknife and Efron's bootstrap...
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Official statistics Ratio estimator Replication (statistics) Random-sampling mechanism Resampling (statistics) Pseudo-random number sampling Sample size determination...
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specialised terminology and methodology: Bootstrap / jackknife resampling Multivariate statistics Statistical classification Structured data analysis Structural...
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studied evolves over time, invalidating the model) Overfitting Resampling (statistics) Supervised learning Training, validation, and test sets Shachar...
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Lehmer code (category Resampling (statistics))
(unsigned). This is an optimal stop problem, a classic in decision theory, statistics and applied probabilities, where a random permutation is gradually revealed...
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of random variables Computational statistics Markov chain Monte Carlo Bootstrapping (statistics) Jackknife resampling Integrated nested Laplace approximations...
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term 'Computational statistics' may also be used to refer to computationally intensive statistical methods including resampling methods, Markov chain...
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prediction. De Finetti theorem Hewitt-Savage zero-one law Resampling Resampling (statistics) § Permutation tests, statistical tests based on exchanging...
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while descriptive statistics (in the mass noun sense) is the process of using and analysing those statistics. Descriptive statistics is distinguished from...
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Bootstrapping populations (category Resampling (statistics))
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...
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Particle filter (redirect from Sampling Importance Resampling)
it can be mitigated by including a resampling step before the weights become uneven. Several adaptive resampling criteria can be used including the variance...
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variance Rankit Resampling (statistics) Seriation (statistics) Golomb–Dickman constant Random permutation Random permutation statistics Change ringing...
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Balanced repeated replication (category Resampling (statistics))
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...
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Medical statistics (also health statistics) deals with applications of statistics to medicine and the health sciences, including epidemiology, public...
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Confidence interval (redirect from Confidence (statistics))
distributional assumptions for the above methods are uncertain or violated, resampling methods allow construction of confidence intervals or prediction intervals...
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In descriptive statistics, summary statistics are used to summarize a set of observations, in order to communicate the largest amount of information as...
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this case, some algorithms and null hypotheses have been proposed. Resampling (statistics) Permutation test J. Theiler; S. Eubank; A. Longtin; B. Galdrikian;...
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Random sample consensus (category Robust statistics)
KALMANSAC – causal inference of the state of a dynamical system Resampling (statistics) Hop-Diffusion Monte Carlo uses randomized sampling involve global...
29 KB (4,157 words) - 21:52, 30 August 2024
Bootstrap error-adjusted single-sample technique (category Resampling (statistics))
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...
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Multivariate statistics is a subdivision of statistics encompassing the simultaneous observation and analysis of more than one outcome variable, i.e....
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PMID 15641418. Preacher, Kristopher J.; Hayes, Andrew F. (2008). "Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator...
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Cramér's V (redirect from Cramer's V (statistics))
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...
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Practice of Resampling Statistics Basic research methods in social sciences: The art of empirical investigation, ISBN 0-394-32049-2 Resampling: A Better...
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Social statistics is the use of statistical measurement systems to study human behavior in a social environment. This can be accomplished through polling...
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