Goodness of Fit: drop Sample-prefix of SampleStandardError

src/Numerics/GoodnessOfFit.cs

@@ -68,7 +68,7 @@ namespace MathNet.Numerics
         /// <returns>The Standard Error of the regression</returns>
         public static double PopulationStandardError(IEnumerable<double> modelledValues, IEnumerable<double> observedValues)
         {
-            return SampleStandardError(modelledValues, observedValues, 0);
+            return StandardError(modelledValues, observedValues, 0);
         }
 
         /// <summary>
@@ -80,7 +80,7 @@ namespace MathNet.Numerics
         /// <param name="degreesOfFreedom">The degrees of freedom by which the 
         /// number of samples is reduced for performing the Standard Error calculation</param>
         /// <returns>The Standard Error of the regression</returns>
-        public static double SampleStandardError(IEnumerable<double> modelledValues, IEnumerable<double> observedValues, int degreesOfFreedom)
+        public static double StandardError(IEnumerable<double> modelledValues, IEnumerable<double> observedValues, int degreesOfFreedom)
         {
             using (IEnumerator<double> ieM = modelledValues.GetEnumerator())
             using (IEnumerator<double> ieO = observedValues.GetEnumerator())
@@ -108,4 +108,4 @@ namespace MathNet.Numerics
             }
         }
     }
-}
+}

src/UnitTests/GoodnessOfFit/StandardErrorTest.cs

@@ -52,7 +52,7 @@ namespace MathNet.Numerics.UnitTests.GoodnessOfFit
         }
 
         [Test]
-        public void ComputesSampleStandardErrorOfTheRegression()
+        public void ComputesStandardErrorOfTheRegression()
         {
             // Definition as described at: http://onlinestatbook.com/lms/regression/accuracy.html
             var xes = new[] { 1.0, 2, 3, 4, 5 };
@@ -61,7 +61,7 @@ namespace MathNet.Numerics.UnitTests.GoodnessOfFit
             var a = fit.Item1;
             var b = fit.Item2;
             var predictedYs = xes.Select(x => a + b * x);
-            var standardError = Numerics.GoodnessOfFit.SampleStandardError(predictedYs, ys, degreesOfFreedom: 2);
+            var standardError = Numerics.GoodnessOfFit.StandardError(predictedYs, ys, degreesOfFreedom: 2);
 
             Assert.AreEqual(0.964, standardError, 1e-3);
         }
@@ -76,11 +76,11 @@ namespace MathNet.Numerics.UnitTests.GoodnessOfFit
         }
 
         [Test]
-        public void SampleStandardErrorShouldThrowIfSampleSizeIsSmallerThanGivenDegreesOfFreedom()
+        public void StandardErrorShouldThrowIfSampleSizeIsSmallerThanGivenDegreesOfFreedom()
         {
             var modelled = new[] { 1.0 };
             var observed = new[] { 1.0 };
-            Assert.Throws<ArgumentOutOfRangeException>(() => Numerics.GoodnessOfFit.SampleStandardError(modelled, observed, 2));
+            Assert.Throws<ArgumentOutOfRangeException>(() => Numerics.GoodnessOfFit.StandardError(modelled, observed, 2));
         }
     }
 }