# 极值分布

Statistics and Machine Learning Toolbox™ 提供了多种处理极值分布的方式。

• 创建一个 `ExtremeValueDistribution` 对象并使用 `ExtremeValueDistribution` 对象函数。

• 使用分布特定的函数并指定分布参数。函数可以接受多种极值分布的参数。

## 函数

 `makedist` 创建概率分布对象 `fitdist` 对数据进行概率分布对象拟合 `distributionFitter` 打开分布拟合器
 `cdf` 累积分布函数 `gather` Gather properties of Statistics and Machine Learning Toolbox object from GPU (自 R2020b 起) `icdf` 逆累积分布函数 `iqr` Interquartile range of probability distribution `mean` 概率分布的均值 `median` Median of probability distribution `negloglik` Negative loglikelihood of probability distribution `paramci` Confidence intervals for probability distribution parameters `pdf` 概率密度函数 `plot` Plot probability distribution object (自 R2022b 起) `proflik` Profile likelihood function for probability distribution `random` 随机数 `std` 概率分布的标准差 `truncate` Truncate probability distribution object `var` 概率分布的方差
 `evcdf` Extreme value cumulative distribution function `evpdf` Extreme value probability density function `evinv` Extreme value inverse cumulative distribution function `evlike` Extreme value negative log-likelihood `evstat` Extreme value mean and variance `evfit` Extreme value parameter estimates `evrnd` Extreme value random numbers

## 对象

 `ExtremeValueDistribution` 极值概率分布对象

## 主题

• Extreme Value Distribution

Extreme value distributions are often used to model the smallest or largest value among a large set of independent, identically distributed random values representing measurements or observations.