scalation.simulation.PoissonProcess
The PoissonProcess class generates data following a Poisson Process.
Value parameters
lambda
the arrival rate
stream
the random number stream to use
t
the terminal time
Attributes
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Supertypes
class Object
trait Matchable
class Any
Known subtypes
Members list
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
Generate the arrival times in the time interval [0, t], returning them as a vector.
Generate the arrival times in the time interval [0, t], returning them as a vector.
Attributes
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
Compute the vector mean for the particular distribution.
Compute the vector mean for the particular distribution.
Attributes
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
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
Determine whether the distribution is discrete or continuous.
Determine whether the distribution is discrete or continuous.
Attributes
Inherited from:
VariateVec