二項式分布
{{Infobox 機率分佈 | name = 二項分布 | type = 質量 | pdf_image = | cdf_image = | notation = \operatorname{B} (n, p) | parameters = n > 0 0 \leq p \leq 1 | support = k \in \{0, \dots, n\} | pdf = {n \choose k} p^k (1 - p)^{n - k} |…
标签：#指数族分布
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正态分布
{{機率分佈 |name = 正态分布 |type = 密度 |pdf_image = 紅線代表標準常態分布 |cdf_image = 顏色與機率密度函數相同 |parameters =\mu数学期望（实数） \sigma^2>0方差（实数） |support =x \in (-\infty;+\infty)\! |pdf = \frac1{\sigma\sqrt{2\pi}}\; \exp\left(-\frac{\left(x-\m…
卡方分佈
{{Probability distribution |name = 卡方分布 |type = 密度 |pdf_image = |cdf_image = |parameters =k \in \mathbb{N}^\star~~ 自由度 |support = x \in [0; +\infty)， |pdf = \frac{1}{2^{\frac{k}{2}}\Gamma\left(\frac{k}{2}\right)}\; x^{\f…
伯努利分布
{{機率分佈 |name =伯努利分布 |type =质量 |pdf_image = |cdf_image = |parameters =1>p>0\,（实数） |support =k=\{0,1\}\, |pdf = \begin{matrix} q & \mbox{for }k=0 \\p~~ & \mbox{for }k=1 \end{matrix} |cdf = \begin{matrix} 0 & \mbox{for }k |…
多元正态分布
{{Infobox 機率分佈 | name = 多元正态分布 | type = multivariate | pdf_image = Many samples from a multivariate (bivariate) Gaussian distribution centered at (1,3) with a standard deviation of 3 in roughly the (0.878, 0.478) directi…