diff --git a/pom.xml b/pom.xml
index 3a62e60a9..843013111 100644
--- a/pom.xml
+++ b/pom.xml
@@ -203,6 +203,9 @@
     <contributor>
       <name>Ted Dunning</name>
     </contributor>
+    <contributor>
+      <name>Ole Ersoy</name>
+    </contributor>
     <contributor>
       <name>Ajo Fod</name>
     </contributor>
diff --git a/src/main/java/org/apache/commons/math3/exception/MathIllegalStateException.java b/src/main/java/org/apache/commons/math3/exception/MathIllegalStateException.java
index 22f881214..2bb4a7100 100644
--- a/src/main/java/org/apache/commons/math3/exception/MathIllegalStateException.java
+++ b/src/main/java/org/apache/commons/math3/exception/MathIllegalStateException.java
@@ -22,8 +22,9 @@ import org.apache.commons.math3.exception.util.ExceptionContext;
 import org.apache.commons.math3.exception.util.ExceptionContextProvider;
 
 /**
- * Base class for all exceptions that signal a mismatch between the
- * current state and the user's expectations.
+ * Base class for all exceptions that signal that the process
+ * throwing the exception is in a state that does not comply with
+ * the set of states the it is designed to be in.
  *
  * @since 2.2
  */
diff --git a/src/test/java/org/apache/commons/math3/distribution/AbstractIntegerDistributionTest.java b/src/test/java/org/apache/commons/math3/distribution/AbstractIntegerDistributionTest.java
index 97ea5a0bb..d6f668bb2 100644
--- a/src/test/java/org/apache/commons/math3/distribution/AbstractIntegerDistributionTest.java
+++ b/src/test/java/org/apache/commons/math3/distribution/AbstractIntegerDistributionTest.java
@@ -27,6 +27,25 @@ public class AbstractIntegerDistributionTest {
     protected final DiceDistribution diceDistribution = new DiceDistribution();
     protected final double p = diceDistribution.probability(1);
 
+    @Test
+    public void testInverseCumulativeProbabilityMethod()
+    {
+    	double precision = 0.000000000000001;
+    	Assert.assertEquals(1, diceDistribution.inverseCumulativeProbability(0));
+    	Assert.assertEquals(1, diceDistribution.inverseCumulativeProbability((1d-Double.MIN_VALUE)/6d));
+    	Assert.assertEquals(2, diceDistribution.inverseCumulativeProbability((1d+precision)/6d));
+    	Assert.assertEquals(2, diceDistribution.inverseCumulativeProbability((2d-Double.MIN_VALUE)/6d));
+    	Assert.assertEquals(3, diceDistribution.inverseCumulativeProbability((2d+precision)/6d));
+    	Assert.assertEquals(3, diceDistribution.inverseCumulativeProbability((3d-Double.MIN_VALUE)/6d));
+    	Assert.assertEquals(4, diceDistribution.inverseCumulativeProbability((3d+precision)/6d));
+    	Assert.assertEquals(4, diceDistribution.inverseCumulativeProbability((4d-Double.MIN_VALUE)/6d));
+    	Assert.assertEquals(5, diceDistribution.inverseCumulativeProbability((4d+precision)/6d));
+    	Assert.assertEquals(5, diceDistribution.inverseCumulativeProbability((5d-precision)/6d));//Can't use Double.MIN
+    	Assert.assertEquals(6, diceDistribution.inverseCumulativeProbability((5d+precision)/6d));
+    	Assert.assertEquals(6, diceDistribution.inverseCumulativeProbability((6d-precision)/6d));//Can't use Double.MIN
+    	Assert.assertEquals(6, diceDistribution.inverseCumulativeProbability((6d)/6d));
+    }
+
     @Test
     public void testCumulativeProbabilitiesSingleArguments() {
         for (int i = 1; i < 7; i++) {
@@ -90,7 +109,7 @@ public class AbstractIntegerDistributionTest {
         }
 
         public double getNumericalVariance() {
-            return 12.5 - 3.5 * 3.5;  // E(X^2) - E(X)^2
+            return 70/24;  // E(X^2) - E(X)^2
         }
 
         public int getSupportLowerBound() {