# Weibull 分布

Statistics and Machine Learning Toolbox™ 提供了几种处理 Weibull 分布的方法。

• 可通过对样本数据进行概率分布拟合或通过指定参数值来创建概率分布对象 `WeibullDistribution`。然后使用对象函数来计算分布、生成随机数等。

• 使用分布拟合器以交互方式处理 Weibull 分布。您可以从该 App 中导出对象并使用对象函数。

• 将分布特定的函数与指定的分布参数结合使用。分布特定的函数可以接受多种 Weibull 分布的参数。

• 将一般分布函数（`cdf``icdf``pdf``random`）与指定的分布名称 (`'Weibull'`) 和参数结合使用。

## 对象

 `WeibullDistribution` Weibull probability distribution object

## App

 分布拟合器 Fit probability distributions to data 概率分布函数 Interactive density and distribution plots

## 函数

#### 创建 `WeibullDistribution` 对象

 `makedist` Create probability distribution object `fitdist` 对数据进行概率分布对象拟合

#### 使用 `WeibullDistribution` 对象

 `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
 `wblcdf` Weibull cumulative distribution function `wblpdf` Weibull probability density function `wblinv` Weibull inverse cumulative distribution function `wbllike` Weibull negative log-likelihood `wblstat` Weibull mean and variance `wblfit` Weibull parameter estimates `wblrnd` Weibull random numbers `wblplot` Weibull probability plot
 `mle` Maximum likelihood estimates `mlecov` Asymptotic covariance of maximum likelihood estimators
 `distributionFitter` Open Distribution Fitter app `histfit` 具有分布拟合的直方图 `qqplot` Quantile-quantile plot `randtool` Interactive random number generation `wblplot` Weibull probability plot

## 主题

Weibull Distribution

The Weibull pdf is an appropriate analytical tool for modeling the breaking strength of materials. Current usage also includes reliability and lifetime modeling.