# 指数分布

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

## 对象

 `ExponentialDistribution` Exponential probability distribution object

## App

 Distribution Fitter Fit probability distributions to data

## 函数

#### 创建 `ExponentialDistribution` 对象

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

#### 使用 `ExponentialDistribution` 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
 `expcdf` Exponential cumulative distribution function `exppdf` Exponential probability density function `expinv` Exponential inverse cumulative distribution function `explike` Exponential negative log-likelihood `expstat` Exponential mean and variance `expfit` Exponential parameter estimates `exprnd` Exponential random numbers
 `mle` Maximum likelihood estimates
 `distributionFitter` Open Distribution Fitter app `histfit` 具有分布拟合的直方图 概率分布函数 Interactive density and distribution plots `qqplot` Quantile-quantile plot `randtool` Interactive random number generation

## 主题

Exponential Distribution

The exponential distribution is special because of its utility in modeling events that occur randomly over time. The main application area is in studies of lifetimes.