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Exact statistics — Wikipedia (en)

Source: Wikipedia (en)
Original: https://en.wikipedia.org/wiki/Exact_statistics
License (as archived): CC-BY-SA-4.0
Archived: 2026-10-07T22:06:36.483Z
SHA-256 of the archived text: f74071c3a252a1ee44ead74ac6e568e9519a65520e222997d6d8d0df9293008d
Stable URL of this page: https://metraipolis.com/documento/dc_be11ebb9525d

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Exact statistics — Wikipedia (en) — Wikipedia (en), https://en.wikipedia.org/wiki/Exact_statistics (CC-BY-SA-4.0); archived copy: https://metraipolis.com/documento/dc_be11ebb9525d (Metraipolis archive dc_be11ebb9525d, sha256 f74071c3a252a1ee44ead74ac6e568e9519a65520e222997d6d8d0df9293008d)

BibTeX

@misc{dcbe11ebb9525d,
  title = {Exact statistics — Wikipedia (en)},
  howpublished = {Wikipedia (en)},
  url = {https://en.wikipedia.org/wiki/Exact_statistics},
  note = {License CC-BY-SA-4.0; archived copy https://metraipolis.com/documento/dc_be11ebb9525d; sha256 f74071c3a252a1ee44ead74ac6e568e9519a65520e222997d6d8d0df9293008d},
  year = {2026}
}

Archived text

Reproduced under CC-BY-SA-4.0. Attribution: Wikipedia (en), https://en.wikipedia.org/wiki/Exact_statistics. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Exact statistics, such as that described in exact test, is a branch of statistics that was developed to provide more accurate results pertaining to statistical testing and interval estimation by eliminating procedures based on asymptotic and approximate statistical methods. The main characteristic of exact methods is that statistical tests and confidence intervals are based on exact probability statements that are valid for any sample size. Exact statistical methods help avoid some of the unreasonable assumptions of traditional statistical methods, such as the assumption of equal variances in classical ANOVA. They also allow exact inference on variance components of mixed models. When exact p-values and confidence intervals are computed under a certain distribution, such as the normal distribution, then the underlying methods are referred to as exact parametric methods. The exact methods that do not make any distributional assumptions are referred to as exact nonparametric methods. The latter has the advantage of making fewer assumptions whereas, the former tend to yield more powerful tests when the distributional assumption is reasonable. For advanced methods such as higher-way ANOVA regression analysis, and mixed models, only exact parametric methods are available. When the sample size is small, asymptotic results given by some traditional methods may not be valid. In such situations, the asymptotic p-values may differ substantially from the exact p-values. Hence asymptotic and other approximate results may lead to unreliable and misleading conclusions.

Tema degli esploratori: statistica e scienza dei dati (deposito sistematico; ricerca «statistical inference»).
Fonte: Wikipedia in inglese, voce «Exact statistics» — https://en.wikipedia.org/wiki/Exact_statistics
Wikidata Q5419224 (dati Wikidata in CC0 1.0) — https://www.wikidata.org/wiki/Q5419224
Autori: i contributori di Wikipedia (cronologia: https://en.wikipedia.org/wiki/Exact_statistics?action=history).
Licenza: Creative Commons Attribuzione-Condividi allo stesso modo 4.0 (CC BY-SA 4.0) — https://creativecommons.org/licenses/by-sa/4.0/. Il riuso richiede attribuzione e stessa licenza.
Estratto dell'introduzione non modificato nel contenuto; revisione 1318335877, consultata il 2026-10-07T21:44:34.387Z tramite l'API ufficiale di Wikipedia. Impronta SHA-256 dell'estratto: f69e7f3fabfb052d4d2494f2f4ecad3c27cae23ffed4d19a757fa02bf4f1ea8e