Neyman–Pearson lemma

approach in statistical testing
Intangible theorem Q1375989
Press Enter · cited answer in seconds

Neyman–Pearson lemma

Summary

Neyman–Pearson lemma is a theorem[1]. It draws 170 Wikipedia views per month (theorem category, ranking #139 of 1,306).[2]

Key Facts

  • Neyman–Pearson lemma is credited with the discovery of Jerzy Neyman[3].
  • Neyman–Pearson lemma is credited with the discovery of Egon Pearson[4].
  • Neyman–Pearson lemma's instance of is recorded as theorem[5].
  • Jerzy Neyman is named after Neyman–Pearson lemma[6].
  • Egon Pearson is named after Neyman–Pearson lemma[7].
  • Neyman–Pearson lemma's Freebase ID is recorded as /m/032tyt[8].
  • Neyman–Pearson lemma's defining formula is recorded as \Lambda(x)=\frac{ L(x \mid \theta _0)}{ L (x\mid\theta _1)} \leq \eta[9].
  • Neyman–Pearson lemma's studied by is recorded as statistics[10].
  • Neyman–Pearson lemma's MathWorld ID is recorded as Neyman-PearsonLemma[11].
  • Neyman–Pearson lemma's maintained by WikiProject is recorded as WikiProject Mathematics[12].
  • Neyman–Pearson lemma's Microsoft Academic ID is recorded as 2779740131[13].

Body

Works and Contributions

Credited discoveries include Jerzy Neyman[3], a mathematician[14], 1894–1981[15], of Poland[16], awarded the Guggenheim Fellowship[17], specialised in mathematical statistics[18] and Egon Pearson[4], a mathematician[19], 1895–1980[20], of United Kingdom[21], awarded the Fellow of the Royal Society[22], specialised in statistics[23].

Why It Matters

Neyman–Pearson lemma draws 170 Wikipedia views per month (theorem category, ranking #139 of 1,306).[2] It has Wikipedia articles in 11 language editions, a strong signal of global cultural recognition.[24]

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [5] . wikidata.org.
  2. [3] . wikidata.org.
  3. [4] . wikidata.org.
  4. [6] . wikidata.org.
  5. [7] . wikidata.org.
  6. [8] . Freebase Data Dumps. wikidata.org.
  7. [9] . wikidata.org.
  8. [10] . wikidata.org.
  9. [11] . wikidata.org.
  10. [12] . wikidata.org.
  11. [13] . wikidata.org.

Inline context (facts about related entities)

  1. [14] . Wikidata. wikidata.org. → on this site
  2. [15] . Wikidata. wikidata.org. → on this site
  3. [16] . Wikidata. wikidata.org. → on this site
  4. [17] . Wikidata. wikidata.org. → on this site
  5. [18] . Wikidata. wikidata.org. → on this site
  6. [19] . Wikidata. wikidata.org. → on this site
  7. [20] . Wikidata. wikidata.org. → on this site
  8. [21] . Wikidata. wikidata.org. → on this site
  9. [22] . Wikidata. wikidata.org. → on this site
  10. [23] . Wikidata. wikidata.org. → on this site

Class ancestry

  1. [1] . Wikidata. wikidata.org.

Aggregate / graph-position facts

  1. [2] . Wikimedia Foundation. dumps.wikimedia.org.
  2. [24] . Wikidata sitelinks. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Neyman–Pearson lemma. Retrieved May 3, 2026, from https://4ort.xyz/entity/neyman-pearson-lemma
MLA “Neyman–Pearson lemma.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/neyman-pearson-lemma.
BibTeX @misc{4ortxyz_neyman-pearson-lemma_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Neyman–Pearson lemma}}, year = {2026}, url = {https://4ort.xyz/entity/neyman-pearson-lemma}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Neyman–Pearson lemma — https://4ort.xyz/entity/neyman-pearson-lemma (retrieved 2026-05-03)

Canonical URL: https://4ort.xyz/entity/neyman-pearson-lemma · Last refreshed: