Documentation

# Lognormal Distribution

Fit, evaluate, generate random samples from lognormal distribution

Statistics and Machine Learning Toolbox™ offers several ways to work with the lognormal distribution.

• Create a probability distribution object `LognormalDistribution` by fitting a probability distribution to sample data or by specifying parameter values. Then, use object functions to evaluate the distribution, generate random numbers, and so on.

• Work with the lognormal distribution interactively by using the Distribution Fitter app. You can export an object from the app and use the object functions.

• Use distribution-specific functions with specified distribution parameters. The distribution-specific functions can accept parameters of multiple lognormal distributions.

• Use generic distribution functions (`cdf`, `icdf`, `pdf`, `random`) with a specified distribution name (`'Lognormal'`) and parameters.

To learn about the lognormal distribution, see Lognormal Distribution.

## Objects

 `LognormalDistribution` Lognormal probability distribution object

## Apps

 Distribution Fitter Fit probability distributions to data

## Functions

expand all

#### Create `LognormalDistribution` Object

 `makedist` Create probability distribution object `fitdist` Fit probability distribution object to data

#### Work with `LognormalDistribution` Object

 `cdf` Cumulative distribution function `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` Probability density function `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
 `logncdf` Lognormal cumulative distribution function `lognpdf` Lognormal probability density function `logninv` Lognormal inverse cumulative distribution function `lognlike` Lognormal negative loglikelihood `lognstat` Lognormal mean and variance `lognfit` Lognormal parameter estimates `lognrnd` Lognormal random numbers
 `mle` Maximum likelihood estimates `mlecov` Asymptotic covariance of maximum likelihood estimators
 Probability Distribution Function Interactive density and distribution plots `randtool` Interactive random number generation

## Topics

Lognormal Distribution

The lognormal distribution is a probability distribution whose logarithm has a normal distribution.