EmpiricalVariable distribution random varDefines a random variable that has a specified, empirical distribution. More...

#include <random-variable.h>

Inheritance diagram for ns3::EmpiricalVariable:

Collaboration diagram for ns3::EmpiricalVariable:

Public Member Functions
	EmpiricalVariable ()
	Constructor for the EmpiricalVariable random variables. More...

void	CDF (double v, double c)
	Specifies a point in the empirical distribution. More...

Public Member Functions inherited from ns3::RandomVariable
	RandomVariable ()

	RandomVariable (const RandomVariable &o)

	~RandomVariable ()

uint32_t	GetInteger (void) const
	Returns a random integer integer from the underlying distribution. More...

double	GetValue (void) const
	Returns a random double from the underlying distribution. More...

RandomVariable &	operator= (const RandomVariable &o)

Protected Member Functions
	EmpiricalVariable (const RandomVariableBase &variable)

Protected Member Functions inherited from ns3::RandomVariable
	RandomVariable (const RandomVariableBase &variable)

RandomVariableBase *	Peek (void) const

Detailed Description

EmpiricalVariable distribution random var

Defines a random variable that has a specified, empirical distribution.

The distribution is specified by a series of calls to the CDF member function, specifying a value and the probability that the function value is less than the specified value. When values are requested, a uniform random variable is used to select a probability, and the return value is interpreted linearly between the two appropriate points in the CDF. The method is known as inverse transform sampling: (http://en.wikipedia.org/wiki/Inverse_transform_sampling).

Definition at line 465 of file random-variable.h.