Example usage for org.apache.commons.math.distribution NormalDistributionImpl NormalDistributionImpl

Introduction

In this page you can find the example usage for org.apache.commons.math.distribution NormalDistributionImpl NormalDistributionImpl.

Prototype

public NormalDistributionImpl(double mean, double sd)

Source Link

Document

Create a normal distribution using the given mean and standard deviation.

Usage

From source file:ProcessData.CalcProb.java

public CalcProb(GaussDistData[] gaussCurve, ArrayList<Long> charTime, ArrayList<Long> wordTime,
        int[] indxArray) {
    this.gaussCurve = gaussCurve;
    this.charTime = charTime;
    this.wordTime = wordTime;
    this.indxArray = indxArray;
    curve = new NormalDistributionImpl[3];
    for (int i = 0; i < 3; i++)
        curve[i] = new NormalDistributionImpl(gaussCurve[i].getMean(), gaussCurve[i].getSigma());
}

From source file:sk.stuba.fiit.kvasnicka.qsimdatamodel.data.utils.creationdelay.GaussNormalCreationDelay.java

/**
 * recommended values://ww w  .j  a  va  2s  .  co  m
 * mean = 0.0
 * standard deviation = 1.0
 */
public GaussNormalCreationDelay(double maxDelay, double functionLength, double mean,
        double standardDistribution) {
    super(maxDelay, functionLength);
    this.mean = mean;
    this.standardDistribution = standardDistribution;
    distribution = new NormalDistributionImpl(mean, standardDistribution);
}

From source file:sk.stuba.fiit.kvasnicka.qsimdatamodel.data.utils.creationdelay.GaussNormalCreationDelay.java

private void readObject(java.io.ObjectInputStream stream) throws java.io.IOException, ClassNotFoundException {
    stream.defaultReadObject();/*  w  ww. j av  a2s.  c  om*/

    distribution = new NormalDistributionImpl(mean, standardDistribution);
}