Package jline.lang.processes

Class Uniform

java.lang.Object
jline.lang.processes.Distribution
jline.lang.processes.ContinuousDistribution
jline.lang.processes.Uniform
All Implemented Interfaces:
Serializable, Copyable
public class Uniform extends ContinuousDistribution implements Serializable
A continuous Uniform distribution
See Also:

  • Constructor Details

    • Uniform

      public Uniform(double minVal, double maxVal)

  • Method Details

    • evalCDF

      public double evalCDF(double t)
      Description copied from class: Distribution
      Evaluates the cumulative distribution function (CDF) at the given point.
      Specified by:
      evalCDF in class Distribution
      Parameters:
      t - the point at which to evaluate the CDF
      Returns:
      the CDF value at point t

    • evalPDF

      public double evalPDF(double t)
      Evaluates the probability density function (PDF) at the given point. Uniform PDF: 1/(max-min) for min <= x <= max, 0 otherwise
      Parameters:
      t - the point at which to evaluate the PDF
      Returns:
      the PDF value at point t

    • evalLST

      public double evalLST(double s)
      Description copied from class: Distribution
      Evaluate the Laplace-Stieltjes Transform at s
      Specified by:
      evalLST in class ContinuousDistribution
      Parameters:
      s - the Laplace domain variable
      Returns:
      the LST value at s

    • evalLST

      public org.apache.commons.math3.complex.Complex evalLST(org.apache.commons.math3.complex.Complex s)
      The transform at a COMPLEX argument, exact and analytic, where the CDF sum of Distribution.evalLST(org.apache.commons.math3.complex.Complex) would only approximate it.
      Overrides:
      evalLST in class Distribution
      Parameters:
      s - the Laplace domain variable
      Returns:
      the LST value at s

    • getMean

      public double getMean()
      Description copied from class: Distribution
      Gets the mean (expected value) of this distribution.
      Specified by:
      getMean in class Distribution
      Returns:
      the mean value

    • getRate

      public double getRate()
      Description copied from class: Distribution
      Gets the rate of this distribution (inverse of mean).
      Overrides:
      getRate in class Distribution
      Returns:
      the rate value (1/mean)

    • getSCV

      public double getSCV()
      Description copied from class: Distribution
      Gets the squared coefficient of variation (SCV) of this distribution. SCV = Var(X) / E[X]^2.
      Specified by:
      getSCV in class Distribution
      Returns:
      the squared coefficient of variation

    • getSkewness

      public double getSkewness()
      Description copied from class: Distribution
      Gets the skewness of this distribution. Skewness measures the asymmetry of the probability distribution.
      Specified by:
      getSkewness in class Distribution
      Returns:
      the skewness value

    • getVar

      public double getVar()
      Description copied from class: Distribution
      Gets the variance of this distribution. Computed as SCV * mean^2.
      Overrides:
      getVar in class Distribution
      Returns:
      the variance

    • sample

      public double[] sample(int n, Random random)
      Description copied from class: Distribution
      Generates random samples from this distribution using the specified random generator.
      Specified by:
      sample in class Distribution
      Parameters:
      n - the number of samples to generate
      random - the random number generator to use
      Returns:
      array of random samples

    • sample

      public double[] sample(int n)
      Gets n samples from the distribution
      Overrides:
      sample in class Distribution
      Parameters:
      n - - the number of samples
      Returns:
      - n samples from the distribution

    • getProcess

      public MatrixCell getProcess()
      Description copied from class: ContinuousDistribution
      Gets the process representation with actual distribution parameters. Returns a MatrixCell containing the distribution parameters.
      Specified by:
      getProcess in class ContinuousDistribution
      Returns:
      MatrixCell with distribution-specific parameters

    • mean

      public double mean()
      Property alias for getMean
      Overrides:
      mean in class Distribution

    • rate

      public double rate()
      Property alias for getRate
      Overrides:
      rate in class Distribution

    • scv

      public double scv()
      Property alias for getSCV
      Overrides:
      scv in class Distribution

    • skewness

      public double skewness()
      Property alias for getSkewness
      Overrides:
      skewness in class Distribution

    • var

      public double var()
      Property alias for getVar
      Overrides:
      var in class Distribution

    • process

      public MatrixCell process()
      Property alias for getProcess