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1   /*
2    * @(#)DistContinuous.java Apr 3, 2003
3    * 
4    * Copyright (c) 2003 Delft University of Technology Jaffalaan 5, 2628 BX Delft,
5    * the Netherlands All rights reserved.
6    * 
7    * This software is proprietary information of Delft University of Technology
8    * The code is published under the General Public License
9    */
10  package nl.tudelft.simulation.jstats.distributions;
11  
12  import nl.tudelft.simulation.jstats.streams.StreamInterface;
13  
14  /***
15   * The Continuous distribution. For more information on this distribution see <a
16   * href="http://mathworld.wolfram.com/ContinuousDistribution.html">
17   * http://mathworld.wolfram.com/ContinuousDistribution.html </a>
18   * <p>
19   * (c) copyright 2002-2004 <a href="http://www.simulation.tudelft.nl">Delft
20   * University of Technology </a>, the Netherlands. <br>
21   * See for project information <a href="http://www.simulation.tudelft.nl">
22   * www.simulation.tudelft.nl </a> <br>
23   * License of use: <a href="http://www.gnu.org/copyleft/gpl.html">General Public
24   * License (GPL) </a>, no warranty <br>
25   * 
26   * @author <a href="http://www.tbm.tudelft.nl/webstaf/alexandv/index.htm">
27   *         Alexander Verbraeck </a> <br>
28   *         <a href="http://www.tbm.tudelft.nl/webstaf/peterja/index.htm"> Peter
29   *         Jacobs </a>
30   * @version 1.7 2004-03-22
31   * @since 1.2
32   */
33  public abstract class DistContinuous extends Dist
34  {
35  	/***
36  	 * constructs a new continuous distribution
37  	 * 
38  	 * @param stream the stream
39  	 */
40  	public DistContinuous(final StreamInterface stream)
41  	{
42  		super(stream);
43  	}
44  
45  	/***
46  	 * draws the next stream value according to the probability of this this
47  	 * distribution.
48  	 * 
49  	 * @return the next double value drawn.
50  	 */
51  	public abstract double draw();
52  
53  	/***
54  	 * returns the propbability density value of an observation
55  	 * 
56  	 * @param observation the observation.
57  	 * @return double the probability density.
58  	 */
59  	public abstract double probDensity(final double observation);
60  }