Package org.drip.sample.gammadistribution

Class DiscreteGeneralizedGamma

java.lang.Object
org.drip.sample.gammadistribution.DiscreteGeneralizedGamma
public class DiscreteGeneralizedGamma
extends java.lang.Object
DiscreteGeneralizedGamma illustrates the Generation of Discrete Generalized Gamma Random Numbers using the Ahlers-Dieter and the Marsaglia Schemes. The References are:

  • Devroye, L. (1986): Non-Uniform Random Variate Generation Springer-Verlag New York
  • Gamma Distribution (2019): Gamma Distribution https://en.wikipedia.org/wiki/Chi-squared_distribution
  • Louzada, F., P. L. Ramos, and E. Ramos (2019): A Note on Bias of Closed-Form Estimators for the Gamma Distribution Derived From Likelihood Equations The American Statistician 73 (2) 195-199
  • Minka, T. (2002): Estimating a Gamma distribution https://tminka.github.io/papers/minka-gamma.pdf
  • Ye, Z. S., and N. Chen (2017): Closed-Form Estimators for the Gamma Distribution Derived from Likelihood Equations The American Statistician 71 (2) 177-181


Author:
Lakshmi Krishnamurthy

  • Constructor Summary

    Constructors
    Constructor Description
    DiscreteGeneralizedGamma()  

  • Method Summary

    Modifier and Type Method Description
    static void main​(java.lang.String[] argumentArray)
    Entry Point

    Methods inherited from class java.lang.Object

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

  • Constructor Details

    • DiscreteGeneralizedGamma

      public DiscreteGeneralizedGamma()

  • Method Details

    • main

      public static final void main​(java.lang.String[] argumentArray) throws java.lang.Exception
      Entry Point
      Parameters:
      argumentArray - Command Line Argument Array
      Throws:
      java.lang.Exception - Thrown on Error/Exception Situation