Fix links

Src/Metrics/SamplingType.cs

@@ -26,7 +26,7 @@ public enum SamplingType
         /// It does so by using a forward-decaying priority reservoir with an exponential weighting towards newer data. 
         /// Unlike the uniform reservoir, an exponentially decaying reservoir represents recent data, allowing you to know very quickly if the distribution 
         /// of the data has changed.
-        /// More information about <a href="http://metrics.codahale.com/manual/core/#man-core-histograms">Exponentially Decaying Reservoir</a>
+        /// More information about <a href="http://metrics.dropwizard.io/3.1.0/manual/core/#histograms">Exponentially Decaying Reservoir</a>
         /// </remarks>
         ExponentiallyDecaying,
 
@@ -38,14 +38,14 @@ public enum SamplingType
         /// It will return a median value, for example, which is the median of all the values the histogram has ever been updated with.
         /// Use a uniform histogram when you’re interested in long-term measurements. 
         /// Don’t use one where you’d want to know if the distribution of the underlying data stream has changed recently.
-        /// More information about <a href="http://metrics.codahale.com/manual/core/#man-core-histograms">Exponentially Decaying Reservoir</a>
+        /// More information about <a href="http://metrics.dropwizard.io/3.1.0/manual/core/#histograms">Exponentially Decaying Reservoir</a>
         /// </remarks>
         LongTerm,
 
         /// <summary>
         /// Sampling will done with a Sliding Window Reservoir.
         /// A histogram with a sliding window reservoir produces quantiles which are representative of the past N measurements.
-        /// More information about <a href="http://metrics.codahale.com/manual/core/#man-core-histograms">Exponentially Decaying Reservoir</a>
+        /// More information about <a href="http://metrics.dropwizard.io/3.1.0/manual/core/#histograms">Exponentially Decaying Reservoir</a>
         /// </summary>
         SlidingWindow
     }