scalation.simulation.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
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Supertypes
class Object
trait Matchable
class Any
Members list
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
Determine whether the distribution is discrete or continuous.
Determine whether the distribution is discrete or continuous.
Attributes
Inherited from:
VariateVec
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