SSJ
3.3.1
Stochastic Simulation in Java
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This class contains common parameters and methods for the Johnson system of distributions [101], [99] with shape parameters \(\gamma\) and \(\delta> 0\), location parameter \(\xi\), and scale parameter \(\lambda>0\). More...
Public Member Functions | |
double | getGamma () |
Returns the value of \(\gamma\). | |
double | getDelta () |
Returns the value of \(\delta\). | |
double | getXi () |
Returns the value of \(\xi\). | |
double | getLambda () |
Returns the value of \(\lambda\). | |
double [] | getParams () |
Return an array containing the parameters of the current distribution. More... | |
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... | |
Public Member Functions inherited from Distribution | |
double | cdf (double x) |
Returns the distribution function \(F(x)\). More... | |
Protected Member Functions | |
JohnsonSystem (double gamma, double delta, double xi, double lambda) | |
Constructs a JohnsonSystem object with shape parameters \(\gamma= \mathtt{gamma}\) and \(\delta= \mathtt{delta}\), location parameter \(\xi= \mathtt{xi}\), and scale parameter \(\lambda= \mathtt{lambda}\). | |
void | setParams0 (double gamma, double delta, double xi, double lambda) |
Sets the value of the parameters \(\gamma\), \(\delta\), \(\xi\) and \(\lambda\). | |
Protected Attributes | |
double | gamma |
double | delta |
double | xi |
double | lambda |
Protected Attributes inherited from ContinuousDistribution | |
double | supportA = Double.NEGATIVE_INFINITY |
double | supportB = Double.POSITIVE_INFINITY |
Additional Inherited Members | |
Public Attributes inherited from ContinuousDistribution | |
int | decPrec = 15 |
Static Protected Attributes inherited from ContinuousDistribution | |
static final double | XBIG = 100.0 |
static final double | XBIGM = 1000.0 |
static final double [] | EPSARRAY |
This class contains common parameters and methods for the Johnson system of distributions [101], [99] with shape parameters \(\gamma\) and \(\delta> 0\), location parameter \(\xi\), and scale parameter \(\lambda>0\).
Denoting \(T=(X-\xi)/\lambda\), the variable \(Z = \gamma+ \delta f(T)\) is a standard normal variable, where \(f(t)\) is one of the following transformations:
Family | \(f(t)\) |
\(S_L\) | \(\ln(t)\) |
\(S_B\) | \(\ln(t / (1-t))\) |
\(S_U\) | \(\ln(t + \sqrt{1 + t^2})\) |
double [] getParams | ( | ) |
Return an array containing the parameters of the current distribution.
This array is put in regular order: [ \(\gamma\), \(\delta\), \(\xi\), \(\lambda\)].
Implements Distribution.