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Table 3 The evaluation of the mean value and variance of NEE, for different outlier intensity, \( {\sigma}_e^2=\operatorname{var}A(k) \), where the nominal value is \( {\sigma}_0^2={10}^4/12 \)

From: Robust adaptive filtering using recursive weighted least squares with combined scale and variable forgetting factors

\( {\sigma}_e^2 \) \( {10}^{-2}{\sigma}_0^2 \) \( {10}^{-1}{\sigma}_0^2 \) \( {\sigma}_0^2 \) \( 10{\sigma}_0^2 \) \( {10}^2{\sigma}_0^2 \)
NEE
mean value −30.8406 −30.3820 −30.4177 −30.4417 −30.3870
variance 94.2645 92.8128 94.9259 95.1020 94.6418