h***@gmail.com
2018-12-11 01:34:08 UTC
In StatsModels there are keywords to specify how to deals with NaNs.
'none' := no checks for missing values
'drop' := drops missing values
'raise' := raises an error
But there is another keyword: 'conservative'. I don't understand what this
does.
Here is the documentation, but it is not explained what is does:
https://www.statsmodels.org/dev/generated/statsmodels.tsa.stattools.acf.html
I'm especcially interested in what is means in the contect of
Autocorrelation.
Thanks!
'none' := no checks for missing values
'drop' := drops missing values
'raise' := raises an error
But there is another keyword: 'conservative'. I don't understand what this
does.
Here is the documentation, but it is not explained what is does:
https://www.statsmodels.org/dev/generated/statsmodels.tsa.stattools.acf.html
I'm especcially interested in what is means in the contect of
Autocorrelation.
Thanks!