[time-nuts] Long Wave Radio-Frequency standard testing

[Gilles Clement]

Hi, 
Yes outliers removal creates gap in Stable32.
The « fill »  function can fills gaps with interpolated values. 
It does not change much the graphs, except in the low Tau area (see attached). 
Do you know a discussion of impact of outliers removal ? 
Gilles. 



> Le 18 janv. 2021 à 22:06, Bob kb8tq <kb8tq at n1k.org> a écrit :
> 
> Hi
> 
> As you throw away samples that are far off the mean, you reduce the sample
> rate ( or at least create gaps in the record). Dealing with that could be difficult.
> 
> Bob
> 
>> On Jan 18, 2021, at 1:33 PM, Gilles Clement <clemgill at gmail.com> wrote:
>> 
>>> Hi
>>> 
>>> Very cool !!!
>>> 
>>> The red trace is obviously the one to focus on. Some sort of digital loop that
>>> only operates under the “known good” conditions would seem to make sense. 
>>> 
>>> Thanks for sharing 
>>> 
>>> Bob
>> 
>> Hi,
>> I tried something with the idea to consider night records fluctuations as « outliers » as compared to day records. 
>> Indeed the 3 days record mean value is flat and the histogram quite gaussian. 
>> So I processed the 3 days record (green trace) with Stable32’s « Check Function »,
>> while removing outliers with decreasing values of the Sigma Factor. The graph below shows the outcome. 
>> The graph with Sigma=0.8 (blue trace) connects rather well with the 1Day record (red trace). 
>> Would this be a workable approach ? 
>> Best, 
>> Gilles. 
>> 
>> 
>> 
>> 
>> 
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