Documentation API of the 'jhplot.math.num.pdf.Poisson' Java class
Poisson
jhplot.math.num.pdf

Class Poisson

    • Constructor Detail

      • Poisson

        public Poisson()
        Default distribution. The means is set to one.
      • Poisson

        public Poisson(double m)
        Create a distribution with the given mean.
        Parameters:
        m - the mean.
    • Method Detail

      • cumulativeProbability

        public double cumulativeProbability(int x)                             throws NumericException
        The CDF for this distribution. This method returns P(X ≤ x).
        Specified by:
        cumulativeProbability in class DiscreteDistribution
        Parameters:
        x - the value at which the CDF is evaluated.
        Returns:
        CDF for this distribution.
        Throws:
        NumericException - if the cumulative probability can not be computed.
      • inverseCumulativeProbability

        public int inverseCumulativeProbability(double p)                                 throws NumericException
        The inverse CDF for this distribution. This method returns the largest x such that, P(X ≤ x) ≤ p. The return value must also satisfy P(X ≥ x) &ge 1 - p.
        Specified by:
        inverseCumulativeProbability in class DiscreteDistribution
        Parameters:
        p - the cumulative probability.
        Returns:
        x
        Throws:
        NumericException - if the inverse cumulative probability can not be computed.
      • probability

        public double probability(int x)
        The PMF for this distribution. This method returns P(X = x).
        Specified by:
        probability in class DiscreteDistribution
        Parameters:
        x - the value at which the probability is evaluated.
        Returns:
        PMF for this distribution.
      • getMean

        public double getMean()
        Access the mean.
        Returns:
        the mean.
      • setMean

        public void setMean(double m)
        Modify the mean.
        Parameters:
        m - the new mean value.

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