Compute the moment-generating function (mgf) for a continuous univariate distribution:

The mgf for a univariate discrete distribution:

The mgf for a multivariate distribution:

Compute the moment-generating function (mgf) for a formula distribution:

Find the mgf for a function of a random variate:

Find the mgf for a data distribution:

Compute the mgf for a censored distribution:

Find the mgf for the slice distribution of a random process:

Find the moment-generating function of the sum of random variates:

Check that it is equal to the product of generating functions:

When it coincides with the mgf of BinomialDistribution:

Confirm with TransformedDistribution:

Reconstruct the PDF of a positive real random variate from its moment-generating function:

Check the result:

Illustrate the central limit theorem on the example of PoissonDistribution:

Find the moment-generating function for the standardized random variate:

Find the moment-generating function for the sum of standardized random variates rescaled by :

Find the large limit:

Compare with the moment-generating function of a standard normal distribution:

MomentGeneratingFunction is equivalent to Expectation of :

MomentGeneratingFunction is an exponential generating function for the sequence of moments:

Use SeriesCoefficient to find moment :

Use Moment directly:

MomentGeneratingFunction is a LaplaceTransform for positive random variables:

MomentGeneratingFunction is a ZTransform for discrete positive random variates:

For some distributions with long tails, moments of only several low orders are defined:

Correspondingly, MomentGeneratingFunction is undefined:

Analytic continuation of CharacteristicFunction can sometimes be defined:

MomentGeneratingFunction is not always known in closed form:

Use Moment to evaluate particular moments: