Hi all
I am applying the AGAGE algorithm for the data screening for outlier detection , so as to reveal the "baseline concentration" for the particle I am examining. The procedure has been explained by O'Doherty et al in this article " In situ chloroform measurements at Advanced Global Atmospheric Gases Experiment atmospheric research stations from 1994 to 1998" (DOI : 10.1029/2000JD900792)
However, as Cunnold et al. further explained in his article (DOI: 10.1029/2001JD001226), I am now to the steps where I have to fit a Gaussian curve to the preliminary-screened dataset so as to find a new standard deviation value for the further evaluation step.
However, the graph has its axis in time series while the ordinate containing the minima values. Therefore, if I use the Gaussian distribution formula to estimate sigma, it requires the data in both axis to in the numerical form. Is there any way I can still calculate when the axis is in its date format?
I will be more than happy to receive the suggestions from you guys
Thank you so much
Why you need to remove outliers?
Article TO DETERMINE SKEWNESS, MEAN AND DEVIATION WITH A NEW APPROAC...
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