org.jscience.economics
Class EconomicsUtils

java.lang.Object
  extended by org.jscience.economics.EconomicsUtils

public final class EconomicsUtils
extends java.lang.Object

A class representing some useful methods for economics


Constructor Summary
EconomicsUtils()
           
 
Method Summary
 double getLogistic(double t, double a, double m, double n, double tau)
          The logistic curve, or see http://en.wikipedia.org/wiki/Logistic_curve
 double getLogit(double t)
          The logit curve, or see http://en.wikipedia.org/wiki/Logistic_regression
 double getRichards(double t, double lower, double upper, double maximum, double growthRate, double nearMaximum)
          The generalised logistic curve, or see http://en.wikipedia.org/wiki/Generalised_logistic_curve
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

EconomicsUtils

public EconomicsUtils()
Method Detail

getRichards

public final double getRichards(double t,
                                double lower,
                                double upper,
                                double maximum,
                                double growthRate,
                                double nearMaximum)
The generalised logistic curve, or see http://en.wikipedia.org/wiki/Generalised_logistic_curve

Parameters:
t - DOCUMENT ME!
lower - DOCUMENT ME!
upper - DOCUMENT ME!
maximum - DOCUMENT ME!
growthRate - DOCUMENT ME!
nearMaximum - DOCUMENT ME!
Returns:
DOCUMENT ME!

getLogistic

public final double getLogistic(double t,
                                double a,
                                double m,
                                double n,
                                double tau)
The logistic curve, or see http://en.wikipedia.org/wiki/Logistic_curve

Parameters:
t - DOCUMENT ME!
a - DOCUMENT ME!
m - DOCUMENT ME!
n - DOCUMENT ME!
tau - DOCUMENT ME!
Returns:
DOCUMENT ME!

getLogit

public final double getLogit(double t)
The logit curve, or see http://en.wikipedia.org/wiki/Logistic_regression

Parameters:
t - DOCUMENT ME!
Returns:
DOCUMENT ME!