NH_PoissonProcess
The NH_PoissonProcess class generates data following a Non-Homogeneous Poisson Process.
Value parameters
- lambdaf
-
the arrival rate function, lambda(t)
- stream
-
the random number stream to use
- t
-
the terminal time
Attributes
- Graph
-
- Supertypes
Members list
Value members
Concrete methods
Generate all arrival times in the time interval [0, t], returning them as a vector.
Generate all arrival times in the time interval [0, t], returning them as a vector.
Attributes
- Definition Classes
Compute the vector mean for the particular distribution.
Compute the vector mean for the particular distribution.
Attributes
- Definition Classes
Compute the probability function (pf): The probability density function (pdf) for continuous RVV's or the probability mass function (pmf) for discrete RVV's.
Compute the probability function (pf): The probability density function (pdf) for continuous RVV's or the probability mass function (pmf) for discrete RVV's.
Value parameters
- z
-
the mass point/vector whose probability is sought
Attributes
- Definition Classes
Inherited methods
Determine whether the distribution is discrete or continuous.
Return the arrivals/events occurring during each time interval of length t_span.
Return the arrivals/events occurring during each time interval of length t_span.
Value parameters
- t_span
-
the time span for an interval (e.g., 5 minute time span)
Attributes
- Inherited from:
- PoissonProcess
Determine the next random integer vector for the particular distribution. It is only valid for discrete random variates.
Determine the next random integer vector for the particular distribution. It is only valid for discrete random variates.
Attributes
- Inherited from:
- PoissonProcess
Return the number of arrivals by time tt, i.e., N(tt)
Return the number of arrivals by time tt, i.e., N(tt)
Value parameters
- tt
-
the inquiry time (how many arrivals by time tt)
Attributes
- Inherited from:
- PoissonProcess