4 ms·
Replace the average (mean) with the median and you will have better results in almost all cases. When the data is good the result ist virtually identical. When
by static_noise 10y ago
Replace the average (mean) with the median and you will have better results in almost all cases.
When the data is good the result ist virtually identical. When there are outliers, the median just ignores them unless there lots of them. When the data is that bad, that the median doesn't work anymore you need to up your statistics quite a few notches.
- SFJulie 10y agoWell the median of measure that are only aggregated by average (RRD, carbon ...) is ... biased. Hence the reason I made my own backend for making very high precision measurement using a percentile filter (10%, 50%, 90% and average for the fun). It was fun to watch linux «monotonic» clock not being monotonic.
- omginternets 10y agoIn psychophysics we either use the median for reaction times (Gamma distribution) or we normalize with something like the logarithm. I think some of the techniques might be applicable to system performance analysis, so I submit the following introductory publication, in case any are interested [0]. [0] http://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=1077&context=tpr http://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=1077...
- gnufx 10y agoReplacing a single number with a different one hardly helps. The distribution matters, specifically the outliers in performance measurements.