Null model: Difference between revisions

Revision as of 16:02, 11 August 2023

Revision as of 00:24, 22 April 2024

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{{for|use in statistical testing|Statistical model}}

{{for|use in ecology|Theoretical ecology}}

{{one source |date=April 2024}}

In mathematics, for example in the study of statistical properties of [[Graph (discrete mathematics)|graphs]], a '''null model''' is a type of random object that matches one specific object in some of its features, or more generally satisfies a collection of constraints, but which is otherwise taken to be an unbiasedly random structure. The null model is used as a term of comparison, to verify whether the object in question displays some non-trivial features (properties that wouldn't be expected on the basis of chance alone or as a consequence of the constraints), such as [[community structure]] in graphs. An appropriate null model behaves in accordance with a reasonable [[null hypothesis]] for the behavior of the system under investigation.

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<references />

{{DEFAULTSORT:Null Model}}

[[Category:Graph theory]]