umontreal.ssj.probdist.ExponentialDistFromMean Class Reference

Extends the ExponentialDist class with a constructor accepting as argument the mean \(1/\lambda\) instead of the rate \(\lambda\). More...

Inheritance diagram for umontreal.ssj.probdist.ExponentialDistFromMean:

Public Member Functions
	ExponentialDistFromMean (double mean)
	Constructs a new exponential distribution with mean mean.
void	setMean (double mean)
	Calls umontreal.ssj.probdist.ExponentialDist.setLambda(double) with argument 1/mean to change the mean of this distribution.
Public Member Functions inherited from umontreal.ssj.probdist.ExponentialDist
	ExponentialDist ()
	Constructs an ExponentialDist object with rate parameter \(\lambda\) = 1.
	ExponentialDist (double lambda)
	Constructs an ExponentialDist object with rate parameter \(\lambda\) = lambda.
double	density (double x)
	Returns \(f(x)\), the density evaluated at \(x\).
double	cdf (double x)
	Returns the distribution function \(F(x)\).
double	barF (double x)
	Returns the complementary distribution function.
double	inverseF (double u)
	Returns the inverse distribution function \(x = F^{-1}(u)\).
double	getMean ()
	Returns the mean.
double	getVariance ()
	Returns the variance.
double	getStandardDeviation ()
	Returns the standard deviation.
double	getLambda ()
	Returns the value of \(\lambda\) for this object.
void	setLambda (double lambda)
	Sets the value of \(\lambda\) for this object.
double[]	getParams ()
	Return a table containing the parameters of the current distribution.
String	toString ()
	Returns a String containing information about the current distribution.
Public Member Functions inherited from umontreal.ssj.probdist.ContinuousDistribution
double	inverseBrent (double a, double b, double u, double tol)
	Computes the inverse distribution function \(x = F^{-1}(u)\), using the Brent-Dekker method.
double	inverseBisection (double u)
	Computes and returns the inverse distribution function \(x = F^{-1}(u)\), using bisection.
double	getXinf ()
	Returns \(x_a\) such that the probability density is 0 everywhere outside the interval \([x_a, x_b]\).
double	getXsup ()
	Returns \(x_b\) such that the probability density is 0 everywhere outside the interval \([x_a, x_b]\).
void	setXinf (double xa)
	Sets the value \(x_a=\) xa, such that the probability density is 0 everywhere outside the interval \([x_a, x_b]\).
void	setXsup (double xb)
	Sets the value \(x_b=\) xb, such that the probability density is 0 everywhere outside the interval \([x_a, x_b]\).

Additional Inherited Members
Static Public Member Functions inherited from umontreal.ssj.probdist.ExponentialDist
static double	density (double lambda, double x)
	Computes the density function.
static double	cdf (double lambda, double x)
	Computes the distribution function.
static double	barF (double lambda, double x)
	Computes the complementary distribution function.
static double	inverseF (double lambda, double u)
	Computes the inverse distribution function.
static double[]	getMLE (double[] x, int n)
	Estimates the rate parameter \(\lambda\) of the exponential distribution using the maximum likelihood method, from the \(n\) observations \(x[i]\), \(i = 0, 1,…, n-1\).
static ExponentialDist	getInstanceFromMLE (double[] x, int n)
	Creates a new instance of an exponential distribution with rate parameter.
static double	getMean (double lambda)
	Computes and returns the mean, \(E[X] = 1/\lambda\), of the exponential distribution with rate parameter \(\lambda\).
static double	getVariance (double lambda)
	Computes and returns the variance, \(\mbox{Var}[X] = 1/\lambda^2\), of the exponential distribution with rate parameter.
static double	getStandardDeviation (double lambda)
	Computes and returns the standard deviation of the exponential distribution with rate parameter \(\lambda\).

Detailed Description

Extends the ExponentialDist class with a constructor accepting as argument the mean \(1/\lambda\) instead of the rate \(\lambda\).

Definition at line 35 of file ExponentialDistFromMean.java.

Constructor & Destructor Documentation

ExponentialDistFromMean()

umontreal.ssj.probdist.ExponentialDistFromMean.ExponentialDistFromMean

(

double

mean

)

Constructs a new exponential distribution with mean mean.

Parameters

mean	the required mean.

Definition at line 42 of file ExponentialDistFromMean.java.

Member Function Documentation

setMean()

void umontreal.ssj.probdist.ExponentialDistFromMean.setMean

(

double

mean

)

Calls umontreal.ssj.probdist.ExponentialDist.setLambda(double) with argument 1/mean to change the mean of this distribution.

Parameters

mean	the new mean.

Definition at line 52 of file ExponentialDistFromMean.java.

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The documentation for this class was generated from the following file:

• src/main/java/umontreal/ssj/probdist/ExponentialDistFromMean.java