Editing Central limit theorem (section)

==See also==
* [[Asymptotic equipartition property]]
* [[Asymptotic distribution]]
* [[Bates distribution]]
* [[Benford's law]] – result of extension of CLT to product of random variables.
* [[Berry–Esseen theorem]]
* [[Central limit theorem for directional statistics]] – Central limit theorem applied to the case of directional statistics
* [[Delta method]] – to compute the limit distribution of a function of a random variable.
* [[Erdős–Kac theorem]] – connects the number of prime factors of an integer with the normal probability distribution
* [[Fisher–Tippett–Gnedenko theorem]] – limit theorem for extremum values (such as {{math|max{''X<sub>n</sub>''}<nowiki/>}})
* [[Irwin–Hall distribution]]
* [[Markov chain central limit theorem]]
* [[Normal distribution]]
* [[Tweedie distribution|Tweedie convergence theorem]] – a theorem that can be considered to bridge between the central limit theorem and the [[Poisson convergence theorem]]<ref name="Jørgensen-1997">{{cite book| last= Jørgensen|first= Bent | year = 1997| title = The Theory of Dispersion Models| publisher = Chapman & Hall | isbn = 978-0412997112}}</ref>
* [[Donsker's theorem]]