On Thursday 03 January 2008 16:12, Robert Hailey wrote: > > On Jan 3, 2008, at 9:03 AM, Matthew Toseland wrote: > > > Useful class, but I'm really not convinced it's statistically sound. > > You need > > to normalize the stored value after every operation, otherwise as it > > gets > > larger, you will get bigger jumps when values are reported. In order > > to do > > this, you probably need to extend BDRA; put some hooks in. > > Hmmm... yes, in review you are right, as averaging is not linear as > such: > assume: avg(a, b, c... x, y) = z > then: avg(a+1, b+1, c+1... x+1, y+1) != z+1 > > An implementation using normalized stored values is possible by adding > a single package-hook: setCurrentValue(double d); > Then, in the averager, on report() to call > avg.setCurrentValue(Location.normalize(avg.currentValue()); > > Implemented in r16855.
Cool.
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