Logistic probability distribution object
A LogisticDistribution
object consists of parameters, a
model description, and sample data for a logistic probability
distribution.
The logistic distribution is used for growth models and in logistic regression. It has longer tails and a higher kurtosis than the normal distribution.
The logistic distribution uses the following parameters.
Parameter | Description | Support |
---|---|---|
mu | Mean | |
sigma | Scale parameter |
There are several ways to create a LogisticDistribution
probability
distribution object.
Create a distribution with specified parameter values using makedist
.
Fit a distribution to data using fitdist
.
Interactively fit a distribution to data using the Distribution Fitter app.
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 |