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Multimodal distribution
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===Particular distributions=== Bimodal distributions, despite their frequent occurrence in data sets, have only rarely been studied{{citation needed|date=March 2019}}. This may be because of the difficulties in estimating their parameters either with frequentist or Bayesian methods. Among those that have been studied are * Bimodal exponential distribution.<ref name=Hassan2010>{{cite journal | last1 = Hassan | first1 = MY | last2 = Hijazi | first2 = RH | year = 2010 | title = A bimodal exponential power distribution | journal = Pakistan Journal of Statistics | volume = 26 | issue = 2| pages = 379β396 }}</ref> * Alpha-skew-normal distribution.<ref name=Elal-Olivero2010>{{cite journal | last1 = Elal-Olivero | first1 = D | year = 2010 | title = Alpha-skew-normal distribution | journal = Proyecciones Journal of Mathematics | volume = 29 | issue = 3| pages = 224β240 | doi=10.4067/s0716-09172010000300006| doi-access = free }}</ref> * Bimodal skew-symmetric normal distribution.<ref name=Hassan2013>{{cite journal |last1=Hassan |first1=M. Y. |last2=El-Bassiouni |first2=M. Y. |year=2016 |title=Bimodal skew-symmetric normal distribution |journal=Communications in Statistics - Theory and Methods |volume=45 |issue=5 |pages=1527β1541 |doi=10.1080/03610926.2014.882950 |s2cid=124087015 }}</ref> * A mixture of [[Conway-Maxwell-Poisson distribution]]s has been fitted to bimodal count data.<ref name=Bosea2013>{{cite book |last1=Bosea |first1=S. |last2=Shmuelib |first2=G. |last3=Sura |first3=P. |last4=Dubey |first4=P. |year=2013 |chapter=Fitting Com-Poisson mixtures to bimodal count data |title=Proceedings of the 2013 International Conference on Information, Operations Management and Statistics (ICIOMS2013), Kuala Lumpur, Malaysia |pages=1β8 |chapter-url=https://www.galitshmueli.com/system/files/ICIOMS%202013%20Malaysia%20Paper%20ID%2028.pdf }}</ref> Bimodality also naturally arises in the [[Catastrophe theory#Cusp catastrophe|cusp catastrophe distribution]].
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