baseCode - 0.2.5

Clover coverage report - baseCode - 0.2.5

Coverage timestamp: Tue Apr 12 2005 11:31:58 EDT

FRAMES NO FRAMES

file stats:	LOC:	51		Methods:	3
	NCLOC:	22		Classes:	1

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NormalProbabilityComputer.java

 package baseCode.math.distribution;
 
 import cern.jet.stat.Probability;
 
 /**
  * <hr>
  * <p>
  * Copyright (c) 2004 Columbia University
  * 
  * @author pavlidis
  * @version $Id: NormalProbabilityComputer.java,v 1.1 2004/12/31 01:14:48 pavlidis Exp $
  */
 public class NormalProbabilityComputer implements ProbabilityComputer {
 
    double variance;
    double mean;
 
    /**
     * @param variance
     * @param mean
     */
    public NormalProbabilityComputer( double variance, double mean ) {
       super();
       this.variance = variance;
       
       if (variance < 0) {
          throw new IllegalArgumentException("Variance must be non-negative");
       }
 
       this.mean = mean;
    }
 
    /*
     * (non-Javadoc)
     * 
     * @see baseCode.math.ProbabilityComputer#probability(double)
     */
    public double probability( double value ) {
       return 1.0 - Probability.normal( mean, variance, value );
    }
 
    public double probability( double value, boolean upperTail ) {
       if ( upperTail ) {
          return probability( value );
       }
 
       return Probability.normal( mean, variance, value );
 
    }
 
 }

1		package baseCode.math.distribution;
2
3		import cern.jet.stat.Probability;
4
5		/**
6		* <hr>
7		* <p>
8		* Copyright (c) 2004 Columbia University
9		*
10		* @author pavlidis
11		* @version $Id: NormalProbabilityComputer.java,v 1.1 2004/12/31 01:14:48 pavlidis Exp $
12		*/
13		public class NormalProbabilityComputer implements ProbabilityComputer {
14
15		double variance;
16		double mean;
17
18		/**
19		* @param variance
20		* @param mean
21		*/
22	0	public NormalProbabilityComputer( double variance, double mean ) {
23	0	super();
24	0	this.variance = variance;
25
26	0	if (variance < 0) {
27	0	throw new IllegalArgumentException("Variance must be non-negative");
28		}
29
30	0	this.mean = mean;
31		}
32
33		/*
34		* (non-Javadoc)
35		*
36		* @see baseCode.math.ProbabilityComputer#probability(double)
37		*/
38	0	public double probability( double value ) {
39	0	return 1.0 - Probability.normal( mean, variance, value );
40		}
41
42	0	public double probability( double value, boolean upperTail ) {
43	0	if ( upperTail ) {
44	0	return probability( value );
45		}
46
47	0	return Probability.normal( mean, variance, value );
48
49		}
50
51		}