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| 1 | +--- |
| 2 | +layout: definition |
| 3 | +mathjax: true |
| 4 | + |
| 5 | +author: "Joram Soch" |
| 6 | +affiliation: "BCCN Berlin" |
| 7 | +e_mail: "joram.soch@bccn-berlin.de" |
| 8 | +date: 2024-10-25 12:04:40 |
| 9 | + |
| 10 | +title: "Unimodal and multimodal probability distribution" |
| 11 | +chapter: "General Theorems" |
| 12 | +section: "Probability theory" |
| 13 | +topic: "Probability distributions" |
| 14 | +definition: "Unimodal vs. multimodal" |
| 15 | + |
| 16 | +sources: |
| 17 | + - authors: "Weisstein, Eric W." |
| 18 | + year: 2024 |
| 19 | + title: "Mode" |
| 20 | + in: "Wolfram MathWorld" |
| 21 | + pages: "retrieved on 2024-10-25" |
| 22 | + url: "https://mathworld.wolfram.com/Mode.html" |
| 23 | + - authors: "Wikipedia" |
| 24 | + year: 2024 |
| 25 | + title: "Unimodality" |
| 26 | + in: "Wikipedia, the free encyclopedia" |
| 27 | + pages: "retrieved on 2024-10-25" |
| 28 | + url: "https://en.wikipedia.org/wiki/Unimodality#Unimodal_probability_distribution" |
| 29 | + |
| 30 | +def_id: "D207" |
| 31 | +shortcut: "dist-uni" |
| 32 | +username: "JoramSoch" |
| 33 | +--- |
| 34 | + |
| 35 | + |
| 36 | +**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, |
| 37 | + |
| 38 | +* $P$ is called a unimodal probability distribution, if $f_X(x)$ has exactly one maximum; |
| 39 | + |
| 40 | +* $P$ is called a bimodal probability distribution, if $f_X(x)$ has exactly two maxima; |
| 41 | + |
| 42 | +* $P$ is called a trimodal probability distribution, if $f_X(x)$ has exactly three maxima; |
| 43 | + |
| 44 | +* $P$ is called a multimodal probability distribution, if $f_X(x)$ has more than one maximum. |
| 45 | + |
| 46 | +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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