Corrected variance (Thanks Thomas) and added tests for inverseCumulativeProbability
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@ -27,6 +27,25 @@ public class AbstractIntegerDistributionTest {
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protected final DiceDistribution diceDistribution = new DiceDistribution();
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protected final double p = diceDistribution.probability(1);
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@Test
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public void testInverseCumulativeProbabilityMethod()
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{
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double precision = 0.000000000000001;
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Assert.assertEquals(1, diceDistribution.inverseCumulativeProbability(0));
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Assert.assertEquals(1, diceDistribution.inverseCumulativeProbability((1d-Double.MIN_VALUE)/6d));
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Assert.assertEquals(2, diceDistribution.inverseCumulativeProbability((1d+precision)/6d));
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Assert.assertEquals(2, diceDistribution.inverseCumulativeProbability((2d-Double.MIN_VALUE)/6d));
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Assert.assertEquals(3, diceDistribution.inverseCumulativeProbability((2d+precision)/6d));
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Assert.assertEquals(3, diceDistribution.inverseCumulativeProbability((3d-Double.MIN_VALUE)/6d));
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Assert.assertEquals(4, diceDistribution.inverseCumulativeProbability((3d+precision)/6d));
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Assert.assertEquals(4, diceDistribution.inverseCumulativeProbability((4d-Double.MIN_VALUE)/6d));
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Assert.assertEquals(5, diceDistribution.inverseCumulativeProbability((4d+precision)/6d));
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Assert.assertEquals(5, diceDistribution.inverseCumulativeProbability((5d-precision)/6d));//Can't use Double.MIN
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Assert.assertEquals(6, diceDistribution.inverseCumulativeProbability((5d+precision)/6d));
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Assert.assertEquals(6, diceDistribution.inverseCumulativeProbability((6d-precision)/6d));//Can't use Double.MIN
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Assert.assertEquals(6, diceDistribution.inverseCumulativeProbability((6d)/6d));
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}
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@Test
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public void testCumulativeProbabilitiesSingleArguments() {
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for (int i = 1; i < 7; i++) {
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@ -90,7 +109,7 @@ public class AbstractIntegerDistributionTest {
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}
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public double getNumericalVariance() {
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return 12.5 - 3.5 * 3.5; // E(X^2) - E(X)^2
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return 70/24; // E(X^2) - E(X)^2
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}
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public int getSupportLowerBound() {
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