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lines changed Original file line number Diff line number Diff line change @@ -3899,7 +3899,7 @@ def percentile(a,
38993899 This parameter specifies the method to use for estimating the
39003900 percentile. There are many different methods, some unique to NumPy.
39013901 See the notes for explanation. The options aligning with the R types
3902- and the H&F paper [1]_ are:
3902+ and the H&F paper are:
39033903
39043904 * (H&F 1): 'inverted_cdf'
39053905 * (H&F 2): 'averaged_inverted_cdf'
@@ -4178,7 +4178,7 @@ def quantile(a,
41784178 This parameter specifies the method to use for estimating the
41794179 quantile. There are many different methods, some unique to NumPy.
41804180 See the notes for explanation. The options aligning with the R types
4181- and the H&F paper [1]_ are:
4181+ and the H&F paper are:
41824182
41834183 * (H&F 1): 'inverted_cdf'
41844184 * (H&F 2): 'averaged_inverted_cdf'
Original file line number Diff line number Diff line change @@ -1274,7 +1274,7 @@ def nanpercentile(
12741274 This parameter specifies the method to use for estimating the
12751275 percentile. There are many different methods, some unique to NumPy.
12761276 See the notes for explanation. The options aligning with the R types
1277- and the H&F paper [1]_ are:
1277+ and the H&F paper are:
12781278
12791279 * (H&F 1): 'inverted_cdf'
12801280 * (H&F 2): 'averaged_inverted_cdf'
@@ -1428,7 +1428,7 @@ def nanquantile(
14281428 This parameter specifies the method to use for estimating the
14291429 quantile. There are many different methods, some unique to NumPy.
14301430 See the notes for explanation. The options aligning with the R types
1431- and the H&F paper [1]_ are:
1431+ and the H&F paper are:
14321432
14331433 * (H&F 1): 'inverted_cdf'
14341434 * (H&F 2): 'averaged_inverted_cdf'
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