diff --git a/src/Numerics/Distributions/Discrete/Binomial.cs b/src/Numerics/Distributions/Discrete/Binomial.cs
index 720dfb35..07b3966d 100644
--- a/src/Numerics/Distributions/Discrete/Binomial.cs
+++ b/src/Numerics/Distributions/Discrete/Binomial.cs
@@ -86,7 +86,7 @@ namespace MathNet.Numerics.Distributions
         /// </summary>
         /// <param name="p">The success probability of a trial.</param>
         /// <param name="n">The number of trials.</param>
-        /// <returns>false <paramref name="p"/> is not in the interval [0.0,1.0] or <paramref name="n"/> is negative, true otherwise.</exception>
+        /// <returns>false <paramref name="p"/> is not in the interval [0.0,1.0] or <paramref name="n"/> is negative, true otherwise.</returns>
         private static bool IsValidParameterSet(double p, int n)
         {
             if(p < 0.0 || p > 1.0 || Double.IsNaN(p))
diff --git a/src/Numerics/Distributions/Discrete/Categorical.cs b/src/Numerics/Distributions/Discrete/Categorical.cs
index 75a4e7af..564c62ad 100644
--- a/src/Numerics/Distributions/Discrete/Categorical.cs
+++ b/src/Numerics/Distributions/Discrete/Categorical.cs
@@ -76,7 +76,7 @@ namespace MathNet.Numerics.Distributions
         /// will not be automatically updated when the histogram changes. The categorical distribution will have
         /// one value for each bucket and a probability for that value proportional to the bucket count.
         /// </summary>
-        /// <param name="h">The histogram from which to create the categorical variable.</param>
+        /// <param name="histogram">The histogram from which to create the categorical variable.</param>
         public Categorical(Histogram histogram)
         {
             if (histogram == null)