Class DiscreteF
java.lang.Object
org.drip.sample.gammadistribution.DiscreteF
public class DiscreteF
extends java.lang.Object
DiscreteF illustrates the Generation of Discrete F 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
- Module = Computational Core Module
- Library = Numerical Analysis Library
- Project = DROP API Construction and Usage
- Package = R1 Gamma Distribution Usage/Properties
- Author:
- Lakshmi Krishnamurthy
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Constructor Summary
Constructors Constructor Description DiscreteF()
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Method Summary
Modifier and Type Method Description static void
main(java.lang.String[] argumentArray)
Entry PointMethods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Constructor Details
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DiscreteF
public DiscreteF()
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Method Details
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main
public static final void main(java.lang.String[] argumentArray) throws java.lang.ExceptionEntry Point- Parameters:
argumentArray
- Command Line Argument Array- Throws:
java.lang.Exception
- Thrown on Error/Exception Situation
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