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SSJ is a Java library for stochastic simulation, developed under the direction of Pierre L'Ecuyer, in the Département d'Informatique et de Recherche Opérationnelle (DIRO), at the Université de Montréal. It provides facilities for generating uniform and nonuniform random variates, computing different measures related to probability distributions, performing goodness-of-fit tests, applying quasi-Monte Carlo methods, collecting (elementary) statistics, and programming discrete-event simulations with both events and processes.

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import umontreal.iro.lecuyer.probdist.*;
import umontreal.iro.lecuyer.charts.*;

public class ContDistPlot
{
   public static void main (String[] args) {
      ContinuousDistribution dist = new NormalDist();
      ContinuousDistChart plot = new ContinuousDistChart(dist, -3.5, 3.5, 1000);
      plot.viewDensity(600, 400);
   }
}




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