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1 package JSci.tests;
2
3 import java.util.Map  ;
4 import java.util.HashMap ;
5 import junit.framework.*;
6 import JSci.maths.statistics.*;
7
8
12 public class StatisticsTest extends junit.framework.TestCase {
13 private ProbabilityDistribution distribution;
14
15 public static void main(String arg[]) {
16 junit.textui.TestRunner.run(suite());
17 }
18 public static Test suite() {
19 ProbabilityDistribution[] distrs = new ProbabilityDistribution[] {
20 new NormalDistribution(),
21 new CauchyDistribution(),
22 new BetaDistribution(5, 13),
23 new FDistribution(5, 13),
24 new TDistribution(11),
25 new GeometricDistribution(0.3),
26 new GammaDistribution(1.5),
27 new ExponentialDistribution(),
28 new LognormalDistribution(),
29 new WeibullDistribution(1.5)
30 };
31 TestSuite suite = new TestSuite(StatisticsTest.class.toString());
32 for(int i=0; i<distrs.length; i++) {
33 Map properties = new HashMap ();
34 properties.put("test.statistics.distribution", distrs[i]);
35 suite.addTest(new TestProperties(new TestSuite(StatisticsTest.class, distrs[i].toString()), properties));
36 }
37 return suite;
38 }
39 public StatisticsTest(String name) {
40 super(name);
41 }
42 protected void setUp() {
43 JSci.GlobalSettings.ZERO_TOL=1.0e-8;
44 distribution = (ProbabilityDistribution) TestProperties.getProperties().get("test.statistics.distribution");
45 }
46
49 public void testInverse() {
50 double expected = Math.random();
51 double actual = distribution.inverse(distribution.cumulative(expected));
52 assertEquals(expected, actual, JSci.GlobalSettings.ZERO_TOL);
53 }
54 }
55
56 |
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