
A command to create a PointProcess object that represents a Poisson process.
A Poisson process is a stationary point process with a fixed density λ, which means that there are, on the average, λ events per second.
First, the number of points N in the time domain is determined. Its expectation value is
λ = (t_{max} – t_{min}) · density 
but its actual value is taken from the Poisson distribution:
p(n) = (λ^{n} / n!) e^{–λ} 
Then, N points are computed throughout the time domain, according to a uniform distribution:
p(t) = 1 / (t_{max} – t_{min}) for t ∈ [t_{min}, t_{max}] 
p(t) = 0 outside [t_{min}, t_{max}] 
© ppgb, October 5, 2004