Consider the IQR Law in the Detection of Outlier in Time Series Considering Skewness
1 School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079,China
2 Research Center of GNSS, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Abstract 〗In order to analyze the skewness of GPS time series data, a skewness factor MC is introduced for measurement as well as construction of the corresponding function in order to improve the detection range of the IQR law. We interpolate after rejecting the outliers, using the time series of the CHAN IGS station provided by Sopac experimental sequence, artificially adding different orders of magnitude and different densities of outlier. We confirmed that the IQR law considering skewness is more rigorous in algorithm and more effective in outlier detection than IQR law alone.
YANG Kaijun,YUAN Peng,QIN Changwei. Consider the IQR Law in the Detection of Outlier in Time Series Considering Skewness[J]. jgg, 2015, 35(5): 793-796.
YANG Kaijun,YUAN Peng,QIN Changwei. Consider the IQR Law in the Detection of Outlier in Time Series Considering Skewness[J]. jgg, 2015, 35(5): 793-796.
