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18 package org.apache.commons.math.distribution;
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27 public class WeibullDistributionTest extends ContinuousDistributionAbstractTest {
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33 public WeibullDistributionTest(String arg0) {
34 super(arg0);
35 }
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39
40 @Override
41 public ContinuousDistribution makeDistribution() {
42 return new WeibullDistributionImpl(1.2, 2.1);
43 }
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46 @Override
47 public double[] makeCumulativeTestPoints() {
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49 return new double[] {0.00664355181d, 0.04543282833d, 0.09811627374d,
50 0.1767135246d, 0.3219468654d, 4.207902826d, 5.23968437d,
51 6.232056007d, 7.497630467d, 10.51154969d};
52 }
53
54
55 @Override
56 public double[] makeCumulativeTestValues() {
57 return new double[] {0.001d, 0.01d, 0.025d, 0.05d, 0.1d, 0.900d, 0.950d,
58 0.975d, 0.990d, 0.999d};
59 }
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63 public void testInverseCumulativeProbabilityExtremes() throws Exception {
64 setInverseCumulativeTestPoints(new double[] {0.0, 1.0});
65 setInverseCumulativeTestValues(
66 new double[] {0.0, Double.POSITIVE_INFINITY});
67 verifyInverseCumulativeProbabilities();
68 }
69
70 public void testAlpha() {
71 WeibullDistribution distribution = (WeibullDistribution) getDistribution();
72 double expected = Math.random();
73 distribution.setShape(expected);
74 assertEquals(expected, distribution.getShape(), 0.0);
75 }
76
77 public void testBeta() {
78 WeibullDistribution distribution = (WeibullDistribution) getDistribution();
79 double expected = Math.random();
80 distribution.setScale(expected);
81 assertEquals(expected, distribution.getScale(), 0.0);
82 }
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84 public void testSetAlpha() {
85 WeibullDistribution distribution = (WeibullDistribution) getDistribution();
86 try {
87 distribution.setShape(0.0);
88 fail("Can not have 0.0 alpha.");
89 } catch (IllegalArgumentException ex) {
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91 }
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93 try {
94 distribution.setShape(-1.0);
95 fail("Can not have negative alpha.");
96 } catch (IllegalArgumentException ex) {
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98 }
99 }
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101 public void testSetBeta() {
102 WeibullDistribution distribution = (WeibullDistribution) getDistribution();
103 try {
104 distribution.setScale(0.0);
105 fail("Can not have 0.0 beta.");
106 } catch (IllegalArgumentException ex) {
107
108 }
109
110 try {
111 distribution.setScale(-1.0);
112 fail("Can not have negative beta.");
113 } catch (IllegalArgumentException ex) {
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115 }
116 }
117 }