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The trimmed mean and Winsorized mean are both super useful in monitoring and metrics systems. In most cases you don't actually want the median but you also don
by jedberg 3y ago
The trimmed mean and Winsorized mean are both super useful in monitoring and metrics systems. In most cases you don't actually want the median but you also don't want the extreme outliers to throw everything off with a mean.
Both methods give you better metrics for comparing periodically, like day over day or week over week.
- PredictorX1 3y agoI've seen published estimates of statistical efficiency for a few test distributions for the trimmed mean, but not the Winsorized mean. Can anyone suggest references on this?
- deleted 3y ago[deleted]
- nivekkevin 3y agop99 for the same reason has been used widely in monitoring systems and benchmarks.
- bertil 3y agoFor instance, all commercial A/B testing services (as far as I can tell) compute the 99%-Winsorized stats for their reports. This is partially due to several common cases that can mess up an average computation, especially between two halves: How many times has the developer testing account clicked on “Buy”? Obviously, those should not been the dataset in the first place, but when dealing with corporate clients, the commercial thing to do is to fix the problem and not confuse the client with the details, unless they dig in the documentation.