diff --git a/pywt/_swt.py b/pywt/_swt.py
index f64e9597..19472e98 100644
--- a/pywt/_swt.py
+++ b/pywt/_swt.py
@@ -100,7 +100,7 @@ def swt(data, wavelet, level=None, start_level=0, axis=-1,
         2. variance is partitioned across scales
 
     When used with ``norm=True``, this transform is closely related to the
-    multiple-overlap DWT (MODWT) as popularized for time-series analysis,
+    maximal-overlap DWT (MODWT) as popularized for time-series analysis,
     although the underlying implementation is slightly different from the one
     published in [1]_. Specifically, the implementation used here requires a
     signal that is a multiple of ``2**level`` in length.