Define a continuous date distribution:

Compute the mean of the distribution:

Simulate a random date from this distribution:

Simulate a list of dates and visualize their distribution:

Define a discrete date distribution:

Compute the median of the distribution:

Simulated random date from this distribution has granularity of year:

Simulate a list of dates and visualize their distribution:

Define a nonsymmetric distribution of dates starting at midnight of today:

Simulate the instances:

Estimate DateDistribution from the collection of dates:

Since the data histogram is bell shaped, fit a normal distribution to the data:

The arguments to distribution functions of a DateDistribution must be dates:

Compute distribution moments of a DateDistribution:

Moment and FactorialMoment are not defined:

Use a nonparametric distribution to define DateDistribution:

Create the series data of times between the starting date and a serious earthquake:

Create a nonparametric model of the data:

Use the model to create distribution of dates:

Simulate and visualize the sample:

List of dates when class of students submitted an assignment:

Visualize the dates distribution:

Fit a GammaDistribution to the dates:

Plot the PDF with steps of one minute and compare with the histogram:

Extract properties of a DateDistribution:

List of properties:

Granularity of a discrete date distribution is given by the date scale unit:

Granularity of a continuous date distribution is always "Instant":

The input distribution must be a valid distribution:

Check if a distribution is valid:

Create a valid distribution:

The unit must be a valid time unit:

Check if a unit is a time unit:

For a time unit:

Or use KnownUnitQ with second argument set as "Time":