Class LogNormalDistributionParameter

java.lang.Object
it.univr.di.cstnu.util.LogNormalDistributionParameter
All Implemented Interfaces:
Serializable
public class LogNormalDistributionParameter extends Object implements Serializable
Log-normal distribution. Initially created inside PSTN class. Then, extracted to allow the compilation of the package without class PSTN.
See Also:

  • Constructor Details

    • LogNormalDistributionParameter

      public LogNormalDistributionParameter(double location, double scale, int shift)
      Parameters:
      location - Considering the associated normal distribution, this is the mean μ of the normal distribution.
      scale - Considering the associated normal distribution, this is the std.dev. σ of the normal distribution.
      shift - It is possible that the activation time point is shifted by a rigid distance. In such a case, the log-normal distribution of the contingent link is the same, but the sample values must be simply added to the shift to have a right value. It would be possible to adjust the location and scale of the log-normal distribution to incorporate such a shift, but we verified that such an adjustment introduce some approximation errors. Be careful: if the original pdf was for the contingent link X --v--> A===>C and A was moved to X, the range of contingent link is increased by v. The shift is 'v', not (-v). Shift can be only positive.

    • LogNormalDistributionParameter

      public LogNormalDistributionParameter(double location, double scale)
      Parameters:
      location - Considering the associated normal distribution, this is the mean μ of the normal distribution.
      scale - Considering the associated normal distribution, this is the std.dev. σ of the normal distribution.

  • Method Details

    • parse

      public static LogNormalDistributionParameter parse(String input)
      Parameters:
      input - a toString() representation of a LogNormalDistributionParameter object.
      Format is "LogNormalDistributionParameter[location=%f, scale=%f, shift=%d]"
      Returns:
      the LogNormalDistributionParameter object represented in the input, null otherwise.

    • cumulativeProbability

      public double cumulativeProbability(double x)
      Parameters:
      x - value in the domain (it will compensate by -shift)
      Returns:
      the cumulative probability at x.

    • getLocation

      public double getLocation()
      Returns:
      location

    • getLogNormalDistribution

      public org.apache.commons.math3.distribution.LogNormalDistribution getLogNormalDistribution()
      Returns:
      the associated pdf

    • getScale

      public double getScale()
      Returns:
      the scale

    • getShift

      public int getShift()
      Returns:
      the shift

    • setShift

      public void setShift(int shift)
      Registers shift.
      Parameters:
      shift - the shift of the location parameter.

    • sample

      public double sample()
      Returns:
      a random value sampled by the current log-normal distribution adjusted by shift value.

    • toString

      public String toString()
      Overrides:
      toString in class Object