Add doc for Epps and Pulley test statistic

docs/epps_pulley_exp_criterion.md

@@ -25,15 +25,9 @@ The computation of the test statistic can be more complex compared to simpler te
 ## Details
 
 The Epps and Pulley test is a test for the composite hypothesis of exponentiality. The test statistic is
+$$EP_n = (48n)^{1/2} [ \frac{1}{n} \sum_{j=1}^{n} exp(-Y_j) -\frac{1}{2} ]$$
 
-.. math::
-   :nowrap:
-
-   \begin{eqnarray}
-     EP_n = (48n)^{1/2} \left \frac{1}{n} \sum_{j=1}^{n} exp(-Y_j) -\frac{1}{2} \right
-   \end{eqnarray}
-
-where Y_j=X_j/\overline{X}. EP_n is asymptotically standard normal (see, e.g., Henze and Meintanis (2005, Sec. 2.8.1).
+where $Y_j=X_j/\overline{X}$. EP_n is asymptotically standard normal (see, e.g., Henze and Meintanis (2005, Sec. 2.8.1).
 
 ## Author(s)
 Lev Golofastov

mkdocs.yml

@@ -6,7 +6,10 @@ edit_uri: edit/main/docs/
 use_directory_urls: True
 nav:
     - Home: index.md
-    - Home: epps_pulley_exp_criterion.md
+    - Criteria:
+        - Goodness-of-fit:
+            - Exponentiality:
+                - Epps and Pulley: epps_pulley_exp_criterion.md
 theme:
   name: material
   logo: "images/logo.jpeg"