# 广义极值分布

## 函数

 `makedist` Create probability distribution object `fitdist` 对数据进行概率分布对象拟合 `distributionFitter` Open Distribution Fitter app
 `cdf` 累积分布函数 `icdf` Inverse cumulative distribution function `iqr` Interquartile range `mean` Mean of probability distribution `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 `proflik` Profile likelihood function for probability distribution `random` Random numbers `std` Standard deviation of probability distribution `truncate` Truncate probability distribution object `var` Variance of probability distribution
 `gevcdf` Generalized extreme value cumulative distribution function `gevpdf` Generalized extreme value probability density function `gevinv` Generalized extreme value inverse cumulative distribution function `gevlike` Generalized extreme value negative log-likelihood `gevstat` Generalized extreme value mean and variance `gevfit` Generalized extreme value parameter estimates `gevrnd` Generalized extreme value random numbers

## 对象

 `GeneralizedExtremeValueDistribution` Generalized extreme value probability distribution object

## 主题

Generalized Extreme Value Distribution

The generalized extreme value distribution is often used to model the smallest or largest value among a large set of independent, identically distributed random values representing measurements or observations.

Modelling Data with the Generalized Extreme Value Distribution

This example shows how to fit the generalized extreme value distribution using maximum likelihood estimation.