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17 package org.apache.commons.math.distribution;
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26 public class WeibullDistributionTest extends ContinuousDistributionAbstractTest {
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32 public WeibullDistributionTest(String arg0) {
33 super(arg0);
34 }
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38
39 public ContinuousDistribution makeDistribution() {
40 return DistributionFactory.newInstance().createWeibullDistribution(1.2, 2.1);
41 }
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44 public double[] makeCumulativeTestPoints() {
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46 return new double[] {0.00664355181d, 0.04543282833d, 0.09811627374d,
47 0.1767135246d, 0.3219468654d, 4.207902826d, 5.23968437d,
48 6.232056007d, 7.497630467d, 10.51154969d};
49 }
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51
52 public double[] makeCumulativeTestValues() {
53 return new double[] {0.001d, 0.01d, 0.025d, 0.05d, 0.1d, 0.900d, 0.950d,
54 0.975d, 0.990d, 0.999d};
55 }
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59 public void testInverseCumulativeProbabilityExtremes() throws Exception {
60 setInverseCumulativeTestPoints(new double[] {0.0, 1.0});
61 setInverseCumulativeTestValues(
62 new double[] {0.0, Double.POSITIVE_INFINITY});
63 verifyInverseCumulativeProbabilities();
64 }
65
66 public void testAlpha() {
67 WeibullDistribution distribution = (WeibullDistribution) getDistribution();
68 double expected = Math.random();
69 distribution.setShape(expected);
70 assertEquals(expected, distribution.getShape(), 0.0);
71 }
72
73 public void testBeta() {
74 WeibullDistribution distribution = (WeibullDistribution) getDistribution();
75 double expected = Math.random();
76 distribution.setScale(expected);
77 assertEquals(expected, distribution.getScale(), 0.0);
78 }
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80 public void testSetAlpha() {
81 WeibullDistribution distribution = (WeibullDistribution) getDistribution();
82 try {
83 distribution.setShape(0.0);
84 fail("Can not have 0.0 alpha.");
85 } catch (IllegalArgumentException ex) {
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87 }
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89 try {
90 distribution.setShape(-1.0);
91 fail("Can not have negative alpha.");
92 } catch (IllegalArgumentException ex) {
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94 }
95 }
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97 public void testSetBeta() {
98 WeibullDistribution distribution = (WeibullDistribution) getDistribution();
99 try {
100 distribution.setScale(0.0);
101 fail("Can not have 0.0 beta.");
102 } catch (IllegalArgumentException ex) {
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104 }
105
106 try {
107 distribution.setScale(-1.0);
108 fail("Can not have negative beta.");
109 } catch (IllegalArgumentException ex) {
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111 }
112 }
113 }