TimeVariate
The TimeVariate abstract class serves as a superclass for time-based random variates such Poisson Processes.
Value parameters
- stream
-
the random number stream
Attributes
- Graph
-
- Supertypes
- Known subtypes
-
class NHPoissonProcessclass PoissonProcess
Members list
Value members
Abstract methods
Compute the mean as a function of time.
Compute the mean as a function of time.
Value parameters
- tt
-
the time point for computing the mean
Attributes
Reset the time-based process to the beginning.
Reset the time-based process to the beginning.
Attributes
Concrete methods
Count then number of sample until the time exceeds tt.
Count then number of sample until the time exceeds tt.
Value parameters
- tt
-
the time point
Attributes
Compute the probability function (pf): The probability density function (pdf) for continuous RV's or the probability mass function (pmf) for discrete RV's.
Compute the probability function (pf): The probability density function (pdf) for continuous RV's or the probability mass function (pmf) for discrete RV's.
Value parameters
- z
-
the mass point whose probability is sought
Attributes
Inherited methods
Determine whether the distribution is discrete or continuous.
Determine the next random integer for the particular distribution. It is only valid for discrete random variates.
Determine the next random integer for the particular distribution. It is only valid for discrete random variates.
Attributes
- Inherited from:
- Variate
Determine the next random integer for the particular distribution. It is only valid for discrete random variates. This version allows one parameter.
Determine the next random integer for the particular distribution. It is only valid for discrete random variates. This version allows one parameter.
Value parameters
- z
-
the limit parameter
Attributes
- Inherited from:
- Variate
Return the entire probability mass function (pmf) for finite discrete RV's.
Return the entire probability mass function (pmf) for finite discrete RV's.
Value parameters
- k
-
number of objects of the first type
Attributes
- Inherited from:
- Variate
Determine the next random string for the particular distribution. For better random strings, overide this method.
Determine the next random string for the particular distribution. For better random strings, overide this method.
Attributes
- Inherited from:
- Variate
Determine the next random string for the particular distribution. For better random strings, overide this method. This version allows one parameter.
Determine the next random string for the particular distribution. For better random strings, overide this method. This version allows one parameter.
Value parameters
- z
-
the limit parameter
Attributes
- Inherited from:
- Variate
Inherited and Abstract methods
Determine the next random number for the particular distribution.
Determine the next random number for the particular distribution.
Attributes
- Inherited from:
- Variate
Determine the next random number for the particular distribution. This version allows one parameter.
Determine the next random number for the particular distribution. This version allows one parameter.
Value parameters
- z
-
the limit parameter
Attributes
- Inherited from:
- Variate