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---
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layout: definition
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mathjax: true
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author: "Joram Soch"
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affiliation: "BCCN Berlin"
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e_mail: "joram.soch@bccn-berlin.de"
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date: 2024-10-25 12:04:40
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title: "Unimodal and multimodal probability distribution"
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chapter: "General Theorems"
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section: "Probability theory"
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topic: "Probability distributions"
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definition: "Unimodal vs. multimodal"
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sources:
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- authors: "Weisstein, Eric W."
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year: 2024
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title: "Mode"
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in: "Wolfram MathWorld"
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pages: "retrieved on 2024-10-25"
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url: "https://mathworld.wolfram.com/Mode.html"
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- authors: "Wikipedia"
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year: 2024
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title: "Unimodality"
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in: "Wikipedia, the free encyclopedia"
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pages: "retrieved on 2024-10-25"
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url: "https://en.wikipedia.org/wiki/Unimodality#Unimodal_probability_distribution"
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def_id: "D207"
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shortcut: "dist-uni"
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username: "JoramSoch"
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---
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**Definition:** Let $X$ be a [continuous](/D/rvar-disc) [random variable](/D/rvar) with some [probability distribution](/D/dist) $P$ characterized by [probability density function](/P/pdf) $f_X(x)$. Then,
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* $P$ is called a unimodal probability distribution, if $f_X(x)$ has exactly one maximum;
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* $P$ is called a bimodal probability distribution, if $f_X(x)$ has exactly two maxima;
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* $P$ is called a trimodal probability distribution, if $f_X(x)$ has exactly three maxima;
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* $P$ is called a multimodal probability distribution, if $f_X(x)$ has more than one maximum.
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Note that this definition of multimodality differs from the [strict definition of the mode](/D/mode) in which only the global maximum of $f_X(x)$ [would be considered the single mode](/D/mode).

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