diff --git a/FastRng/Double/Distributions/Beta.cs b/FastRng/Double/Distributions/BetaA2B2.cs
similarity index 83%
rename from FastRng/Double/Distributions/Beta.cs
rename to FastRng/Double/Distributions/BetaA2B2.cs
index 709ad93..88b0327 100644
--- a/FastRng/Double/Distributions/Beta.cs
+++ b/FastRng/Double/Distributions/BetaA2B2.cs
@@ -4,7 +4,7 @@ using System.Threading.Tasks;
 
 namespace FastRng.Double.Distributions
 {
-    public sealed class Beta : IDistribution
+    public sealed class BetaA2B2 : IDistribution
     {
         private const double ALPHA = 2;
         private const double BETA = 2;
@@ -13,7 +13,7 @@ namespace FastRng.Double.Distributions
         private ShapeFitter fitter;
         private IRandom random;
 
-        public Beta()
+        public BetaA2B2()
         {
         }
         
@@ -23,7 +23,7 @@ namespace FastRng.Double.Distributions
             set
             {
                 this.random = value;
-                this.fitter = new ShapeFitter(Beta.ShapeFunction, this.random, 50, 0.99);
+                this.fitter = new ShapeFitter(BetaA2B2.ShapeFunction, this.random, 50, 0.99);
             }
         }
 
diff --git a/FastRngTests/Double/Distributions/Beta.cs b/FastRngTests/Double/Distributions/Beta.cs
index ad17463..36bff49 100644
--- a/FastRngTests/Double/Distributions/Beta.cs
+++ b/FastRngTests/Double/Distributions/Beta.cs
@@ -20,7 +20,7 @@ namespace FastRngTests.Double.Distributions
             const double MEAN = A / (A + B);
             const double VARIANCE = (A * B) / ((A + B) * (A + B) * (A + B + 1.0));
             
-            var dist = new FastRng.Double.Distributions.Beta();
+            var dist = new FastRng.Double.Distributions.BetaA2B2();
             var stats = new RunningStatistics();
             var rng = new MultiThreadedRng();
             
@@ -43,7 +43,7 @@ namespace FastRngTests.Double.Distributions
             var rng = new MultiThreadedRng();
             var samples = new double[1_000];
             for (var n = 0; n < samples.Length; n++)
-                samples[n] = await rng.NextNumber(-1.0, 1.0, new FastRng.Double.Distributions.Beta());
+                samples[n] = await rng.NextNumber(-1.0, 1.0, new FastRng.Double.Distributions.BetaA2B2());
             
             rng.StopProducer();
             Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range");
@@ -58,7 +58,7 @@ namespace FastRngTests.Double.Distributions
             var rng = new MultiThreadedRng();
             var samples = new double[1_000];
             for (var n = 0; n < samples.Length; n++)
-                samples[n] = await rng.NextNumber(0.0, 1.0, new FastRng.Double.Distributions.Beta());
+                samples[n] = await rng.NextNumber(0.0, 1.0, new FastRng.Double.Distributions.BetaA2B2());
             
             rng.StopProducer();
             Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range");
@@ -71,7 +71,7 @@ namespace FastRngTests.Double.Distributions
         public async Task TestBetaGeneratorWithRange03()
         {
             var rng = new MultiThreadedRng();
-            var dist = new FastRng.Double.Distributions.Beta { Random = rng }; // Test default parameters
+            var dist = new FastRng.Double.Distributions.BetaA2B2 { Random = rng }; // Test default parameters
             
             var samples = new double[1_000];
             for (var n = 0; n < samples.Length; n++)
@@ -87,7 +87,7 @@ namespace FastRngTests.Double.Distributions
         [Category(TestCategories.NORMAL)]
         public async Task NoRandomNumberGenerator01()
         {
-            var dist = new FastRng.Double.Distributions.Beta();
+            var dist = new FastRng.Double.Distributions.BetaA2B2();
             Assert.DoesNotThrowAsync(async () => await dist.GetDistributedValue());
             Assert.That(await dist.GetDistributedValue(), Is.NaN);
         }