package umontreal.iro.lecuyer.randvar;
import umontreal.iro.lecuyer.rng.*;
import umontreal.iro.lecuyer.probdist.*;


/**
 * This class implements random variate generators for the 
 * logistic distribution. Its parameters are α and 
 * λ > 0.
 * Its density function is 
 * 
 * 

*
* f (x) = λe-λ(x-α)/[(1 + e-λ(x-α))2] for - ∞ < x < ∞. *

* The (non-static) nextDouble method simply calls inverseF on the * distribution. * */ public class LogisticGen extends RandomVariateGen { protected double alpha = -1.0; protected double lambda = -1.0; /** * Creates a logistic random variate generator with parameters * α = alpha and λ = lambda, * using stream s. * */ public LogisticGen (RandomStream s, double alpha, double lambda) { super (s, new LogisticDist(alpha, lambda)); setParams (alpha, lambda); } /** * Creates a logistic random variate generator with parameters * * α = 0 and * λ = 1, * using stream s. * */ public LogisticGen (RandomStream s) { this (s, 0.0, 1.0); } /** * Creates a new generator for the logistic distribution * dist and stream s. * */ public LogisticGen (RandomStream s, LogisticDist dist) { super (s, dist); if (dist != null) setParams (dist.getAlpha(), dist.getLambda()); } /** * Generates a new variate from the logistic distribution * with parameters α = alpha and λ = lambda, * using stream s. * */ public static double nextDouble (RandomStream s, double alpha, double lambda) { return LogisticDist.inverseF (alpha, lambda, s.nextDouble()); } /** * Returns the parameter α of this object. * */ public double getAlpha() { return alpha; } /** * Returns the parameter λ of this object. * * */ public double getLambda() { return lambda; } /** * Sets the parameter α and λ of this object. * */ protected void setParams (double alpha, double lambda) { if (lambda <= 0.0) throw new IllegalArgumentException ("lambda <= 0"); this.lambda = lambda; this.alpha = alpha; } }

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