Mixture (probability)
{{one source |date=March 2024}}
In probability theory and statistics, a mixture is a probabilistic combination of two or more probability distributions.{{Cite journal|last1=Heidari|first1=Hadi|last2=Arabi|first2=Mazdak|last3=Ghanbari|first3=Mahshid|last4=Warziniack|first4=Travis|date=June 2020|title=A Probabilistic Approach for Characterization of Sub-Annual Socioeconomic Drought Intensity-Duration-Frequency (IDF) Relationships in a Changing Environment|journal=Water|language=en|volume=12|issue=6|pages=1522|doi=10.3390/w12061522|doi-access=free}} The concept arises mostly in two contexts:
:* A mixture defining a new probability distribution from some existing ones, as in a mixture distribution or a compound distribution. Here a major problem often is to derive the properties of the resulting distribution.
:* A mixture used as a statistical model such as is often used for statistical classification. The model may represent the population from which observations arise as a mixture of several components, and the problem is that of a mixture model, in which the task is to infer from which of a discrete set of sub-populations each observation originated.
See also
References
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Category:Compound probability distributions
Category:Statistical classification
- {{citation
| last1 = Yao | first1 = Weixin
| last2 = Xiang | first2 = Sijia
| isbn = 978-0367481827
| publisher = Chapman & Hall/CRC Press | location = Boca Raton, FL
| title = Mixture Models: Parametric, Semiparametric, and New Directions
| url=https://www.routledge.com/Mixture-Models-Parametric-Semiparametric-and-New-Directions/Yao-Xiang/p/book/9780367481827
| year = 2024}}.
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