Package pal.statistics

Class NormalDistribution

  • public class NormalDistribution
extends java.lang.Object
    normal distribution (pdf, cdf, quantile)
    Version:
    $Id: NormalDistribution.java,v 1.3 2001/07/13 14:39:13 korbinian Exp $
    Author:
    Korbinian Strimmer

    • Method Summary

      All Methods Static Methods Concrete Methods 
      Modifier and Type Method Description
      static double cdf​(double x, double m, double sd)
      cumulative density function
      static double mean​(double m, double sd)
      mean
      static double pdf​(double x, double m, double sd)
      probability density function
      static double quantile​(double z, double m, double sd)
      quantiles (=inverse cumulative density function)
      static double variance​(double m, double sd)
      variance

      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    • Constructor Detail

      • NormalDistribution

        public NormalDistribution()

    • Method Detail

      • pdf

        public static double pdf​(double x,
                         double m,
                         double sd)
        probability density function
        Parameters:
        x - argument
        m - mean
        sd - standard deviation
        Returns:
        pdf at x

      • cdf

        public static double cdf​(double x,
                         double m,
                         double sd)
        cumulative density function
        Parameters:
        x - argument
        m - mean
        sd - standard deviation
        Returns:
        cdf at x

      • quantile

        public static double quantile​(double z,
                              double m,
                              double sd)
        quantiles (=inverse cumulative density function)
        Parameters:
        z - argument
        m - mean
        sd - standard deviation
        Returns:
        icdf at z

      • mean

        public static double mean​(double m,
                          double sd)
        mean
        Parameters:
        m - mean
        sd - standard deviation
        Returns:
        mean

      • variance

        public static double variance​(double m,
                              double sd)
        variance
        Parameters:
        m - mean
        sd - standard deviation
        Returns:
        variance