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# 일반화 극값 분포

일반화 극값 분포에서 임의 표본 피팅, 실행, 생성

## 함수

 `makedist` 확률 분포 객체 만들기 `fitdist` 데이터에 확률 분포 객체 피팅하기 `distributionFitter` Open Distribution Fitter app
 `cdf` 누적 분포 함수 `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` 확률 분포 모수에 대한 신뢰구간 `pdf` 확률 밀도 함수 `proflik` Profile likelihood function for probability distribution `random` 난수 `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

## 객체

 `GeneralizedExtremeValueDistribution` Generalized extreme value probability distribution object

## 도움말 항목

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.