diff --git a/doc/source/conf.py b/doc/source/conf.py
index 6feb678..36a48fd 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -54,7 +54,7 @@
 
 # General information about the project.
 project = 'Nolds'
-copyright = u'2016-2018, Christopher Schölzel'
+copyright = u'2016-2024, Christopher Schölzel'
 author = u'Christopher Schölzel'
 
 # The version info for the project you're documenting, acts as replacement for
@@ -292,4 +292,4 @@
 # If true, do not generate a @detailmenu in the "Top" node's menu.
 #texinfo_no_detailmenu = False
 
-autodoc_mock_imports = ['numpy', 'future', 'setuptools', 'builtins']
\ No newline at end of file
+# autodoc_mock_imports = ['numpy', 'future', 'setuptools', 'builtins']
\ No newline at end of file
diff --git a/doc/source/examples.rst b/doc/source/examples.rst
index a1256c7..d89c5b7 100644
--- a/doc/source/examples.rst
+++ b/doc/source/examples.rst
@@ -23,7 +23,7 @@ You can run some examples for the functions in nolds with the command
 These tests are also available as functions inside the module ``nolds.examples``.
 
 Functions in ``nolds.examples``
------------------------------
+-------------------------------
 
 .. autofunction:: nolds.examples.plot_lyap
 .. autofunction:: nolds.examples.profiling
diff --git a/doc/source/nolds.rst b/doc/source/nolds.rst
index ccdb928..ecbb1da 100644
--- a/doc/source/nolds.rst
+++ b/doc/source/nolds.rst
@@ -41,7 +41,7 @@ Generalized Hurst Exponent (Barabási et al.)
 
 Generalized Hurst Exponent (Di Matteo et al.)
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-.. autofunction:: nolds.mfhurst_da
+.. autofunction:: nolds.mfhurst_dm
 
 Helper functions
 -----------------
diff --git a/nolds/measures.py b/nolds/measures.py
index 7b5fdb1..153df68 100644
--- a/nolds/measures.py
+++ b/nolds/measures.py
@@ -1716,7 +1716,7 @@ def mfhurst_dm(data, qvals=None, max_dists=range(5, 20), detrend=True,
       a more natural fit. If low values of d yield statistically unstable
       results, they should simply be omitted.
   - The algorithm tests multiple values for tau_max, which is the maximum
-      distance that will be calculated. In [mdh]_ the authors state that this
+      distance that will be calculated. In [mhd_1]_ the authors state that this
       is done to test the robustness of the approach. However, taking the
       mean of several runs with different tau_max will not produce any more
       information than performing one run with the largest tau_max. Instead
@@ -1728,7 +1728,7 @@ def mfhurst_dm(data, qvals=None, max_dists=range(5, 20), detrend=True,
        and its Applications, vol. 324, no. 1–2, pp. 183–188, 2003.
 
   Reference code:
-    .. [mdh_a] Tomaso Aste, "Generalized Hurst exponent",
+    .. [mhd_a] Tomaso Aste, "Generalized Hurst exponent",
        url: http://de.mathworks.com/matlabcentral/fileexchange/30076-generalized-hurst-exponent
 
   Args: