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**Definition:** Let $X$ be a [random variable](/D/rvar) with possible outcomes $\mathcal{X}$. Then,
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* $X$ is called a univariate random variable or [random scalar](/D/rvar), if $\mathcal{X}$ is one-dimensional, i.e. (a subset of) the set of real numbers $\mathbb{R}$;
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* $X$ is called a univariate random variable or [random scalar](/D/rvar), if $\mathcal{X}$ is one-dimensional, i.e. (a subset of) the real numbers $\mathbb{R}$;
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* $X$ is called a multivariate random variable or [random vector](/D/rvec), if $\mathcal{X}$ is multi-dimensional, e.g. (a subset of) the set of real vectors $\mathbb{R}^n$;
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* $X$ is called a multivariate random variable or [random vector](/D/rvec), if $\mathcal{X}$ is multi-dimensional, e.g. (a subset of) the $n$-dimensional Euclidean space $\mathbb{R}^n$;
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* $X$ is called a matrix-valued random variable or [random matrix](/D/rmat), if $\mathcal{X}$ is (a subset of) the set of real matrices $\mathbb{R}^{n \times p}$.
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* $X$ is called a matrix-valued random variable or [random matrix](/D/rmat), if $\mathcal{X}$ is (a subset of) the set of $n \times p$ real matrices $\mathbb{R}^{n \times p}$.
| P183 | cdf-sifct |[Cumulative distribution function of a strictly increasing function of a random variable](/P/cdf-sifct)| JoramSoch | 2020-10-29 |
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| P184 | pmf-sifct |[Probability mass function of a strictly increasing function of a discrete random variable](/P/pmf-sifct)| JoramSoch | 2020-10-29 |
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| P185 | pdf-sifct |[Probability density function of a strictly increasing function of a continuous random variable](/P/pdf-sifct)| JoramSoch | 2020-10-29 |
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| P186 | cdf-sdfct |[Cumulative distribution function of a strictly decreasing function of a random variable](/P/cdf-sdfct)| JoramSoch | 2020-11-06 |
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| P187 | pmf-sdfct |[Probability mass function of a strictly decreasing function of a discrete random variable](/P/pmf-sdfct)| JoramSoch | 2020-11-06 |
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| P188 | pdf-sdfct |[Probability density function of a strictly decreasing function of a continuous random variable](/P/pdf-sdfct)| JoramSoch | 2020-11-06 |
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