diff --git a/pandas/core/window.py b/pandas/core/window.py
index 358ef98e1c072..84bbfb3c8ba4a 100644
--- a/pandas/core/window.py
+++ b/pandas/core/window.py
@@ -910,7 +910,38 @@ def max(self, *args, **kwargs):
         return self._apply('roll_max', 'max', **kwargs)
 
     _shared_docs['min'] = dedent("""
-    %(name)s minimum
+    Calculate the %(name)s minimum.
+
+    Parameters
+    ----------
+    **kwargs
+        Under Review.
+
+    Returns
+    -------
+    Series or DataFrame
+        Returned object type is determined by the caller of the %(name)s
+        calculation.
+
+    See Also
+    --------
+    Series.%(name)s : Calling object with a Series
+    DataFrame.%(name)s : Calling object with a DataFrame
+    Series.min : Similar method for Series
+    DataFrame.min : Similar method for DataFrame
+
+    Examples
+    --------
+    Performing a rolling minimum with a window size of 3.
+
+    >>> s = pd.Series([4, 3, 5, 2, 6])
+    >>> s.rolling(3).min()
+    0    NaN
+    1    NaN
+    2    3.0
+    3    2.0
+    4    2.0
+    dtype: float64
     """)
 
     def min(self, *args, **kwargs):
@@ -1410,7 +1441,6 @@ def max(self, *args, **kwargs):
         return super(Rolling, self).max(*args, **kwargs)
 
     @Substitution(name='rolling')
-    @Appender(_doc_template)
     @Appender(_shared_docs['min'])
     def min(self, *args, **kwargs):
         nv.validate_rolling_func('min', args, kwargs)
@@ -1671,7 +1701,6 @@ def max(self, *args, **kwargs):
         return super(Expanding, self).max(*args, **kwargs)
 
     @Substitution(name='expanding')
-    @Appender(_doc_template)
     @Appender(_shared_docs['min'])
     def min(self, *args, **kwargs):
         nv.validate_expanding_func('min', args, kwargs)