This is machine translation

Translated by Microsoft
Mouseover text to see original. Click the button below to return to the English verison of the page.

Note: This page has been translated by MathWorks. Please click here
To view all translated materals including this page, select Japan from the country navigator on the bottom of this page.

Poisson Distribution

Fit parameters of the Poisson distribution to data, evaluate the distribution or its inverse, generate pseudorandom samples


makedistCreate probability distribution object
fitdistFit probability distribution object to data
distributionFitterOpen Distribution Fitter app
cdfCumulative distribution functions
icdfInverse cumulative distribution functions
iqrInterquartile range
meanMean of probability distribution
medianMedian of probability distribution
negloglikNegative log likelihood of probability distribution
paramciConfidence intervals for probability distribution parameters
pdfProbability density functions
proflikProfile likelihood function for probability distribution
randomRandom numbers
stdStandard deviation of probability distribution
truncateTruncate probability distribution object
varVariance of probability distribution
poisscdfPoisson cumulative distribution function
poisspdfPoisson probability density function
poissinvPoisson inverse cumulative distribution function
poisstatPoisson mean and variance
poissfitPoisson parameter estimates
poissrndPoisson random numbers

Using Objects

PoissonDistributionPoisson probability distribution object


Poisson 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, and so on.

Was this topic helpful?