CentralExponentialCDFComparison.java
- package org.drip.sample.chisquaredistribution;
- import org.drip.function.definition.R1ToR1;
- import org.drip.function.definition.R2ToR1;
- import org.drip.measure.chisquare.R1Central;
- import org.drip.numerical.common.FormatUtil;
- import org.drip.service.env.EnvManager;
- import org.drip.specialfunction.digamma.CumulativeSeriesEstimator;
- import org.drip.specialfunction.gamma.EulerIntegralSecondKind;
- import org.drip.specialfunction.incompletegamma.LowerEulerIntegral;
- /*
- * -*- mode: java; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
- */
- /*!
- * Copyright (C) 2020 Lakshmi Krishnamurthy
- * Copyright (C) 2019 Lakshmi Krishnamurthy
- *
- * This file is part of DROP, an open-source library targeting analytics/risk, transaction cost analytics,
- * asset liability management analytics, capital, exposure, and margin analytics, valuation adjustment
- * analytics, and portfolio construction analytics within and across fixed income, credit, commodity,
- * equity, FX, and structured products. It also includes auxiliary libraries for algorithm support,
- * numerical analysis, numerical optimization, spline builder, model validation, statistical learning,
- * and computational support.
- *
- * https://lakshmidrip.github.io/DROP/
- *
- * DROP is composed of three modules:
- *
- * - DROP Product Core - https://lakshmidrip.github.io/DROP-Product-Core/
- * - DROP Portfolio Core - https://lakshmidrip.github.io/DROP-Portfolio-Core/
- * - DROP Computational Core - https://lakshmidrip.github.io/DROP-Computational-Core/
- *
- * DROP Product Core implements libraries for the following:
- * - Fixed Income Analytics
- * - Loan Analytics
- * - Transaction Cost Analytics
- *
- * DROP Portfolio Core implements libraries for the following:
- * - Asset Allocation Analytics
- * - Asset Liability Management Analytics
- * - Capital Estimation Analytics
- * - Exposure Analytics
- * - Margin Analytics
- * - XVA Analytics
- *
- * DROP Computational Core implements libraries for the following:
- * - Algorithm Support
- * - Computation Support
- * - Function Analysis
- * - Model Validation
- * - Numerical Analysis
- * - Numerical Optimizer
- * - Spline Builder
- * - Statistical Learning
- *
- * Documentation for DROP is Spread Over:
- *
- * - Main => https://lakshmidrip.github.io/DROP/
- * - Wiki => https://github.com/lakshmiDRIP/DROP/wiki
- * - GitHub => https://github.com/lakshmiDRIP/DROP
- * - Repo Layout Taxonomy => https://github.com/lakshmiDRIP/DROP/blob/master/Taxonomy.md
- * - Javadoc => https://lakshmidrip.github.io/DROP/Javadoc/index.html
- * - Technical Specifications => https://github.com/lakshmiDRIP/DROP/tree/master/Docs/Internal
- * - Release Versions => https://lakshmidrip.github.io/DROP/version.html
- * - Community Credits => https://lakshmidrip.github.io/DROP/credits.html
- * - Issues Catalog => https://github.com/lakshmiDRIP/DROP/issues
- * - JUnit => https://lakshmidrip.github.io/DROP/junit/index.html
- * - Jacoco => https://lakshmidrip.github.io/DROP/jacoco/index.html
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- *
- * You may obtain a copy of the License at
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- *
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
- /**
- * <i>CentralExponentialCDFComparison</i> illustrates the Comparison of the CDF between the Exponential
- * Distribution and the Central Chi-squared Distribution with 2 Degrees of Freedom. The References are:
- *
- * <br><br>
- * <ul>
- * <li>
- * Abramowitz, M., and I. A. Stegun (2007): <i>Handbook of Mathematics Functions</i> <b>Dover Book
- * on Mathematics</b>
- * </li>
- * <li>
- * Backstrom, T., and J. Fischer (2018): Fast Randomization for Distributed Low Bit-rate Coding of
- * Speech and Audio <i>IEEE/ACM Transactions on Audio, Speech, and Language Processing</i> <b>26
- * (1)</b> 19-30
- * </li>
- * <li>
- * Chi-Squared Distribution (2019): Chi-Squared Function
- * https://en.wikipedia.org/wiki/Chi-squared_distribution
- * </li>
- * <li>
- * Johnson, N. L., S. Kotz, and N. Balakrishnan (1994): <i>Continuous Univariate Distributions
- * 2<sup>nd</sup> Edition</i> <b>John Wiley and Sons</b>
- * </li>
- * <li>
- * National Institute of Standards and Technology (2019): Chi-Squared Distribution
- * https://www.itl.nist.gov/div898/handbook/eda/section3/eda3666.htm
- * </li>
- * </ul>
- *
- * <br><br>
- * <ul>
- * <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/ComputationalCore.md">Computational Core Module</a></li>
- * <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/NumericalAnalysisLibrary.md">Numerical Analysis Library</a></li>
- * <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/sample/README.md">DROP API Construction and Usage</a></li>
- * <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/sample/chisquaredistribution/README.md">Chi-Square Distribution Usage/Properties</a></li>
- * </ul>
- *
- * @author Lakshmi Krishnamurthy
- */
- public class CentralExponentialCDFComparison
- {
- private static final R2ToR1 LowerIncompleteGamma()
- throws Exception
- {
- return new R2ToR1()
- {
- @Override public double evaluate (
- final double s,
- final double t)
- throws Exception
- {
- return new LowerEulerIntegral (
- null,
- t
- ).evaluate (s);
- }
- };
- }
- public static final void main (
- final String[] argumentArray)
- throws Exception
- {
- EnvManager.InitEnv ("");
- int digammaTermCount = 1000;
- double[] tArray =
- {
- 0.1,
- 0.5,
- 1.0,
- 1.5,
- 2.0,
- 2.5,
- 3.0,
- 3.5,
- 4.0,
- 4.5,
- 5.0,
- 5.5,
- 6.0,
- 6.5,
- 7.0,
- 7.5,
- 8.0,
- 8.5,
- 9.0,
- 9.5,
- 10.0,
- 10.5,
- 11.0,
- 11.5,
- 12.0,
- };
- R1ToR1 gammaEstimator = new EulerIntegralSecondKind (null);
- R2ToR1 lowerIncompleteGammaEstimator = LowerIncompleteGamma();
- R1ToR1 digammaEstimator = CumulativeSeriesEstimator.AbramowitzStegun2007 (digammaTermCount);
- R1Central r1UnivariateScaledExponential = new R1Central (
- 2,
- gammaEstimator,
- digammaEstimator,
- lowerIncompleteGammaEstimator
- );
- System.out.println ("\t|-----------------------------------||");
- System.out.println ("\t| EXPONENTIAL vs CHI-SQUARED k=2 ||");
- System.out.println ("\t|-----------------------------------||");
- System.out.println ("\t| L -> R: ||");
- System.out.println ("\t| - t ||");
- System.out.println ("\t| - Chi-squared CDF ||");
- System.out.println ("\t| - Exponential CDF ||");
- System.out.println ("\t|-----------------------------------||");
- for (double t : tArray)
- {
- System.out.println (
- "\t| [" + FormatUtil.FormatDouble (t, 2, 1, 1., false) + "] => " +
- FormatUtil.FormatDouble (
- r1UnivariateScaledExponential.cumulative (t), 1, 8, 1., false
- ) + " | " + FormatUtil.FormatDouble (
- 1. - Math.exp (-0.5 * t), 1, 8, 1., false
- ) + " ||"
- );
- }
- System.out.println ("\t|-----------------------------------||");
- EnvManager.TerminateEnv();
- }
- }