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| author | Chris Wilson <chris@chris-wilson.co.uk> | 2015-07-01 13:50:02 +0100 |
|---|---|---|
| committer | Chris Wilson <chris@chris-wilson.co.uk> | 2015-07-01 18:58:46 +0100 |
| commit | 19135a34471ec4da4d7cc8493c371b8c38879f0b (patch) | |
| tree | a5792c9e39c96d325d1522ee6391d1f0f08b2867 /MAINTAINERS | |
| parent | 669b5da2bc4ef8d80405aef96ebb831a39608db4 (diff) | |
stats: Add the interquartile mean (IQM)
https://en.wikipedia.org/wiki/Interquartile_mean
The IQM is a truncated mean and so is very similar to the scoring
method used in sports that are evaluated by a panel of judges:
discard the lowest and the highest scores; calculate the mean
value of the remaining scores.
It's useful to hide outliers in measurements (due to cold cache etc),
without having to worry too much about the actual distribution.
Signed-off-by: Chris Wilson <chris@chris-wilson.co.uk>
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