Poisson probability distribution object
A PoissonDistribution
object consists of parameters, a
model description, and sample data for a Poisson probability
distribution.
The Poisson distribution is appropriate for applications that involve counting the number of times a random event occurs in a given amount of time, distance, area, etc. If the number of counts follows the Poisson distribution, then the interval between individual counts follows the exponential distribution.
The Poisson distribution uses the following parameters.
Parameter | Description | Support |
---|---|---|
lambda | Mean |
There are several ways to create a PoissonDistribution
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 |