Class NormalDistributionImpl

    • Field Detail

      • DEFAULT_INVERSE_ABSOLUTE_ACCURACY

        public static final double DEFAULT_INVERSE_ABSOLUTE_ACCURACY
        Default inverse cumulative probability accuracy
        Since:
        2.1
        See Also:
        Constant Field Values
    • Constructor Detail

      • NormalDistributionImpl

        public NormalDistributionImpl​(double mean,
                                      double sd)
        Create a normal distribution using the given mean and standard deviation.
        Parameters:
        mean - mean for this distribution
        sd - standard deviation for this distribution
      • NormalDistributionImpl

        public NormalDistributionImpl​(double mean,
                                      double sd,
                                      double inverseCumAccuracy)
        Create a normal distribution using the given mean, standard deviation and inverse cumulative distribution accuracy.
        Parameters:
        mean - mean for this distribution
        sd - standard deviation for this distribution
        inverseCumAccuracy - inverse cumulative probability accuracy
        Since:
        2.1
      • NormalDistributionImpl

        public NormalDistributionImpl()
        Creates normal distribution with the mean equal to zero and standard deviation equal to one.
    • Method Detail

      • getMean

        public double getMean()
        Access the mean.
        Specified by:
        getMean in interface NormalDistribution
        Returns:
        mean for this distribution
      • setMean

        @Deprecated
        public void setMean​(double mean)
        Deprecated.
        as of 2.1 (class will become immutable in 3.0)
        Modify the mean.
        Specified by:
        setMean in interface NormalDistribution
        Parameters:
        mean - for this distribution
      • getStandardDeviation

        public double getStandardDeviation()
        Access the standard deviation.
        Specified by:
        getStandardDeviation in interface NormalDistribution
        Returns:
        standard deviation for this distribution
      • density

        @Deprecated
        public double density​(Double x)
        Deprecated.
        Return the probability density for a particular point.
        Specified by:
        density in interface HasDensity<Double>
        Specified by:
        density in interface NormalDistribution
        Parameters:
        x - The point at which the density should be computed.
        Returns:
        The pdf at point x.
      • density

        public double density​(double x)
        Returns the probability density for a particular point.
        Overrides:
        density in class AbstractContinuousDistribution
        Parameters:
        x - The point at which the density should be computed.
        Returns:
        The pdf at point x.
        Since:
        2.1
      • cumulativeProbability

        public double cumulativeProbability​(double x)
                                     throws MathException
        For this distribution, X, this method returns P(X < x). If xis more than 40 standard deviations from the mean, 0 or 1 is returned, as in these cases the actual value is within Double.MIN_VALUE of 0 or 1.
        Specified by:
        cumulativeProbability in interface Distribution
        Parameters:
        x - the value at which the CDF is evaluated.
        Returns:
        CDF evaluated at x.
        Throws:
        MathException - if the algorithm fails to converge
      • getSupportLowerBound

        public double getSupportLowerBound()
        Returns the lower bound of the support for the distribution. The lower bound of the support is always negative infinity no matter the parameters.
        Returns:
        lower bound of the support (always Double.NEGATIVE_INFINITY)
        Since:
        2.2
      • getSupportUpperBound

        public double getSupportUpperBound()
        Returns the upper bound of the support for the distribution. The upper bound of the support is always positive infinity no matter the parameters.
        Returns:
        upper bound of the support (always Double.POSITIVE_INFINITY)
        Since:
        2.2
      • getNumericalVariance

        public double getNumericalVariance()
        Returns the variance. For standard deviation parameter s, the variance is s^2
        Returns:
        the variance
        Since:
        2.2