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-rw-r--r--doc/neps/missing-data.rst6
1 files changed, 3 insertions, 3 deletions
diff --git a/doc/neps/missing-data.rst b/doc/neps/missing-data.rst
index 338a8da96..0d03d7774 100644
--- a/doc/neps/missing-data.rst
+++ b/doc/neps/missing-data.rst
@@ -105,12 +105,12 @@ an array of all missing values must produce the same result as the
mean of a zero-sized array without missing value support.
This kind of data can arise when conforming sparsely sampled data
-into a regular sampling pattern, and is a useful interpretation to
+into a regular sampling pattern, and is a useful interpretation to
use when attempting to get best-guess answers for many statistical queries.
In R, many functions take a parameter "na.rm=T" which means to treat
the data as if the NA values are not part of the data set. This proposal
-defines a standard parameter "skipna=True" for this same purpose.
+defines a standard parameter "skipna=True" for this same purpose.
********************************************
Implementation Techniques For Missing Values
@@ -1174,7 +1174,7 @@ the discussion are::
Olivier Delalleau
Alan G Isaac
E. Antero Tammi
- Jason Grout
+ Jason Grout
Dag Sverre Seljebotn
Joe Harrington
Gary Strangman