Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
A k-trimmed mean is a mean where the largest and smallest k% of the observations are removed before the mean is calculated.
16
votes
What are the relative merits of Winsorizing vs. Trimming data?
In a different, but related question on trimming that I just stumbled across, one answer had the following helpful insight into why one might use either winsorizing or trimming:
If you take the tr …
38
votes
5
answers
35k
views
What are the relative merits of Winsorizing vs. Trimming data?
Winsorizing data means to replace the extreme values of a data set with a certain percentile value from each end, while Trimming or Truncating involves removing those extreme values.
I always see bo …