Editing Multimodal distribution (section)

===Special cases===

Additional tests are available for a number of special cases:

;Mixture of two normal distributions

A study of a mixture density of two normal distributions data found that separation into the two normal distributions was difficult unless the means were separated by 4–6 standard deviations.<ref name=Jackson1898>{{cite journal | last1 = Jackson | first1 = PR | last2 = Tucker | first2 = GT | last3 = Woods | first3 = HF | year = 1989 | title = Testing for bimodality in frequency distributions of data suggesting polymorphisms of drug metabolism--hypothesis testing | journal = British Journal of Clinical Pharmacology | volume = 28 | issue = 6| pages = 655–662 | doi=10.1111/j.1365-2125.1989.tb03558.x| pmid = 2611088 | pmc = 1380036 }}</ref>

In [[astronomy]] the Kernel Mean Matching algorithm is used to decide if a data set belongs to a single normal distribution or to a mixture of two normal distributions.

;Beta-normal distribution

This distribution is bimodal for certain values of is parameters. A test for these values has been described.<ref>{{cite conference|url=http://www.amstat.org/sections/srms/Proceedings/y2002/Files/JSM2002-000150.pdf|archive-url=https://web.archive.org/web/20160304051936/http://www.amstat.org/sections/srms/Proceedings/y2002/Files/JSM2002-000150.pdf|archive-date=2016-03-04|contribution=Beta-normal distribution: Bimodality properties and application|first1=Felix|last1=Famoye|first2=Carl|last2=Lee|first3=Nicholas|last3=Eugene|title=Joint Statistical Meetings - Section on Physical & Engineering Sciences (SPES)|publisher=American Statistical Society|pages=951-956}}</ref>