CACrown ArchivesThe cinema collection
EN/FR
Search
Menu
Research dossier · General Reference

Geometric distribution

Probability distribution

Cross-disciplinary reference desk with index cards, atlas, dictionary and catalogue
General referenceInterpretive dossier study · Crown Archives visual atlas
Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionSep 18, 2026
Entity authoritySource title only
Source-derived summary

In probability theory and statistics, the geometric distribution is either one of two discrete probability distributions:The probability distribution of the number of Bernoulli trials needed to get one success, supported on ;

The probability distribution of the number of failures before the first success, supported on .

Editorial summary

The public source identifies “Geometric distribution” as probability distribution. This brief keeps that definition visible, then builds a research path around Geometric, distribution and Probability.

Editorial reviewA dependable orientation record for establishing vocabulary, names and a first evidence trail. The current 47-word lead offers orientation but no explicit four-digit date, so chronology should not be assumed. The selected authority fields contribute no independent date. Its value is orientation rather than verdict, with Geometric, distribution and Probability providing the first useful test.
Editorial analysis

Why this record matters

A short description can identify a subject without explaining its stakes. For “Geometric distribution”, the useful work is to connect “probability distribution” to the records capable of establishing context and consequence.

Evidence profile

Named sources, stable identifiers and responsible institutions provide the strongest route from overview to verifiable evidence. The source revision retrieved here is dated Sep 18, 2026.

Critical limits

A concise general-reference account can conceal disagreements about scope, terminology or the weight assigned to individual sources. The lead is largely declarative, so disagreement and counter-evidence require a deliberate search beyond the opening account. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.

How to read it

Use the entry as an orientation point, then follow its citations and revision history. Names, dates and institutional relationships should be checked against the original record.

Best used for
  • Subject orientation
  • Search vocabulary
  • Locating named sources
Verify next

The closest primary source, responsible institution and strongest cited specialist reference.

Three-step research path

  1. Establish the record: confirm the title “Geometric distribution”, its source revision and the description used here.
  2. Expand the search: follow Geometric distribution primary sources, Geometric distribution archive and Geometric research across catalogues and specialist indexes.
  3. Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.

Questions for further research

  1. Which source most directly establishes the central claim about “Geometric distribution”?
  2. Which cited source is closest to the event, object or claim?
  3. Which institution is responsible for the underlying evidence?
Subject index

Search terms from this dossier

Source & attribution

This entry incorporates text from “Geometric distribution” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.