Extends the ExponentialDist class with a constructor accepting as argument the mean \(1/\lambda\) instead of the rate \(\lambda\). More...
Inheritance diagram for ExponentialDistFromMean:
Collaboration diagram for ExponentialDistFromMean:
Public Member Functions | |
| ExponentialDistFromMean (double mean) | |
Constructs a new exponential distribution with mean mean. More... | |
| void | setMean (double mean) |
Calls umontreal.ssj.probdist.ExponentialDist.setLambda(double) with argument 1/mean to change the mean of this distribution. More... | |
 Public Member Functions inherited from ExponentialDist | |
| ExponentialDist () | |
Constructs an ExponentialDist object with parameter \(\lambda\) = 1. | |
| ExponentialDist (double lambda) | |
Constructs an ExponentialDist object with parameter \(\lambda\) = lambda. | |
| double | density (double x) |
| double | cdf (double x) |
| Returns the distribution function \(F(x)\). More... | |
| double | barF (double x) |
| Returns \(\bar{F}(x) = 1 - F(x)\). More... | |
| double | inverseF (double u) |
| Returns the inverse distribution function \(F^{-1}(u)\), defined in ( inverseF ). More... | |
| double | getMean () |
| Returns the mean of the distribution function. | |
| double | getVariance () |
| Returns the variance of the distribution function. | |
| double | getStandardDeviation () |
| Returns the standard deviation of the distribution function. | |
| 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 ContinuousDistribution | |
| abstract double | density (double x) |
| Returns \(f(x)\), the density evaluated at \(x\). More... | |
| double | barF (double x) |
| Returns the complementary distribution function. More... | |
| double | inverseBrent (double a, double b, double u, double tol) |
| Computes the inverse distribution function \(x = F^{-1}(u)\), using the Brent-Dekker method. More... | |
| double | inverseBisection (double u) |
| Computes and returns the inverse distribution function \(x = F^{-1}(u)\), using bisection. More... | |
| double | inverseF (double u) |
| Returns the inverse distribution function \(x = F^{-1}(u)\). More... | |
| double | getMean () |
| Returns the mean. More... | |
| double | getVariance () |
| Returns the variance. More... | |
| double | getStandardDeviation () |
| Returns the standard deviation. More... | |
| double | getXinf () |
| Returns \(x_a\) such that the probability density is 0 everywhere outside the interval \([x_a, x_b]\). More... | |
| double | getXsup () |
| Returns \(x_b\) such that the probability density is 0 everywhere outside the interval \([x_a, x_b]\). More... | |
| void | setXinf (double xa) |
Sets the value \(x_a=\) xa, such that the probability density is 0 everywhere outside the interval \([x_a, x_b]\). More... | |
| void | setXsup (double xb) |
Sets the value \(x_b=\) xb, such that the probability density is 0 everywhere outside the interval \([x_a, x_b]\). More... | |
Additional Inherited Members | |
| Static Public Member Functions inherited from 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 parameter \(\lambda\) of the exponential distribution using the maximum likelihood method, from the \(n\) observations \(x[i]\), \(i = 0, 1,…, n-1\). More... | |
| static ExponentialDist | getInstanceFromMLE (double[] x, int n) |
| Creates a new instance of an exponential distribution with parameter \(\lambda\) estimated using the maximum likelihood method based on the \(n\) observations \(x[i]\), \(i = 0, 1, …, n-1\). More... | |
| static double | getMean (double lambda) |
| Computes and returns the mean, \(E[X] = 1/\lambda\), of the exponential distribution with parameter \(\lambda\). More... | |
| static double | getVariance (double lambda) |
| Computes and returns the variance, \(\mbox{Var}[X] = 1/\lambda^2\), of the exponential distribution with parameter \(\lambda\). More... | |
| static double | getStandardDeviation (double lambda) |
| Computes and returns the standard deviation of the exponential distribution with parameter \(\lambda\). More... | |
| Public Attributes inherited from ContinuousDistribution | |
| int | decPrec = 15 |
| Protected Attributes inherited from ContinuousDistribution | |
| double | supportA = Double.NEGATIVE_INFINITY |
| double | supportB = Double.POSITIVE_INFINITY |
| Static Protected Attributes inherited from ContinuousDistribution | |
| static final double | XBIG = 100.0 |
| static final double | XBIGM = 1000.0 |
| static final double [] | EPSARRAY |
Detailed Description
Extends the ExponentialDist class with a constructor accepting as argument the mean \(1/\lambda\) instead of the rate \(\lambda\).
Constructor & Destructor Documentation
◆ ExponentialDistFromMean()
| ExponentialDistFromMean | ( | double | mean | ) |
Constructs a new exponential distribution with mean mean.
- Parameters
-
mean the required mean.
Member Function Documentation
◆ setMean()
| void 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.
The documentation for this class was generated from the following file:
- ExponentialDistFromMean.java
