Examples of org.apache.commons.math.distribution.DistributionFactory

Package org.apache.commons.math.distribution

Examples of org.apache.commons.math.distribution.DistributionFactory

org.apache.commons.math.distribution.DistributionFactory
te a Chi-Square distribution with 5 degrees of freedom. ChiSquaredDistribution chi = factory.createChiSquareDistribution(5.0); @version $Revision: 545192 $ $Date: 2007-06-07 07:35:04 -0700 (Thu, 07 Jun 2007) $ @deprecated pluggability of distribution instances is now provided throughconstructors and setters.

   */
  public static Object statPoisson(Object[] args, XelContext ctx) throws MathException{
    double x = CommonFns.toNumber(args[0]).doubleValue();
    double mean = CommonFns.toNumber(args[1]).doubleValue();
    boolean isCumulative = ((Boolean)args[2]).booleanValue();
    DistributionFactory factory = DistributionFactory.newInstance();
    PoissonDistribution pd = factory.createPoissonDistribution(mean);
    if(isCumulative)
      return UtilFns.validateNumber(pd.cumulativeProbability(x));
    else
      return UtilFns.validateNumber(pd.probability(x));
  }

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  public static Object statTdist(Object[] args, XelContext ctx) throws MathException{
    //EXCEL: TDIST(x,degrees_freedom,tails)
    double x = CommonFns.toNumber(args[0]).doubleValue();
    double degree_freedom = CommonFns.toNumber(args[1]).doubleValue();
    int tails = CommonFns.toNumber(args[2]).intValue();
    DistributionFactory factory = DistributionFactory.newInstance();
    TDistribution td = factory.createTDistribution(degree_freedom );
    return UtilFns.validateNumber(1 - td.cumulativeProbability(x));
  }

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   * @throws MathException
   */
  public static Object statTinv(Object[] args, XelContext ctx) throws MathException{
    double p = CommonFns.toNumber(args[0]).doubleValue();
    double degree_freedom = CommonFns.toNumber(args[1]).doubleValue();
    DistributionFactory factory = DistributionFactory.newInstance();
    TDistribution td = factory.createTDistribution(degree_freedom );
    return UtilFns.validateNumber(td.inverseCumulativeProbability((1-p)));
  }

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   */
  public static Object statWeibull(Object[] args, XelContext ctx) throws MathException{
    double x = CommonFns.toNumber(args[0]).doubleValue();
    double alpha = CommonFns.toNumber(args[1]).doubleValue();
    double beta = CommonFns.toNumber(args[1]).doubleValue();
    DistributionFactory factory = DistributionFactory.newInstance();
    WeibullDistribution wb = factory.createWeibullDistribution(alpha, beta);
    return UtilFns.validateNumber(wb.cumulativeProbability(x));
  }

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