/***********************************************************************

	This file is part of JavaNPST, a Java library of NonParametric
	Statistical Tests.

	Copyright (C) 2011
	
	J. Derrac (jderrac@decsai.ugr.es)
	S. Garcia (sglopez@ujaen.es)
	F. Herrera (herrera@decsai.ugr.es)

	This program is free software: you can redistribute it and/or modify
	it under the terms of the GNU General Public License as published by
	the Free Software Foundation, either version 3 of the License, or
	(at your option) any later version.

	This program is distributed in the hope that it will be useful,
	but WITHOUT ANY WARRANTY; without even the implied warranty of
	MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
	GNU General Public License for more details.

	You should have received a copy of the GNU General Public License
	along with this program.  If not, see http://www.gnu.org/licenses/
  
**********************************************************************/
package javanpst.examples;

import javanpst.tests.goodness.lillieforsTest.*;
import javanpst.tests.goodness.A_DTest.*;
import javanpst.data.structures.sequence.NumericSequence;

/**
 * A sample program for testing goodness of fit of
 * a given sample to normal and exponential distributions with
 * unknown parameters. 
 *
 * Lilliefors and Anderson-Darling tests will be used
 *
 * @author Joaqu�n Derrac Rus (jderrac@decsai.ugr.es)
 * @version 1.0
 */
public class UnknownFit{

	public static void main(String args []){
	
		/**
		  *  Sample to test
		  */
		double sample [] = {1.5,2.3,4.2,7.1,10.4,8.4,9.3,6.5,2.5,4.6};
		
		//Create data structure
		NumericSequence data = new NumericSequence(sample);

		//Create tests
		LillieforsTest test = new LillieforsTest(data);
		A_DTest test2 = new A_DTest(data);
		
		//Use of Lilliefors test
		
		//Adjust to a normal distribution
		test.adjustNormal();
		
		//Run test
		test.doTest();
		
		//Print results 
		System.out.println("\nResults of Lilliefors test:\n"+test.printReport());
		
		System.out.println();
		System.out.println("**************************************");
		System.out.println();
		
		//Adjust to a exponential distribution
		test.adjustExponential();
		
		//Run test
		test.doTest();
		
		//Print results 
		System.out.println("\nResults of Lilliefors test:\n"+test.printReport());
		
		System.out.println();
		System.out.println("**************************************");
		System.out.println();
		
		//Use of Anderson-Darling test
		
		//Adjust to a normal distribution
		test2.adjustNormal();
		
		//Run test
		test2.doTest();
		
		//Print results 
		System.out.println("\nResults of Anderson-Darling test:\n"+test2.printReport());
		
		System.out.println();
		System.out.println("**************************************");
		System.out.println();
		
		//Adjust to a exponential distribution
		test2.adjustExponential();
		
		//Run test
		test2.doTest();
		
		//Print results 
		System.out.println("\nResults of Anderson-Darling test:\n"+test2.printReport());
	
	}//end-method

}//end-class