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This paper describes the EAST-ADL support for the modeling of plausible error behaviors as an orthogonal system view.
Wang and Fang [39] proposed a structured procedure to analyze the error behaviors of traffic dispatchers in emergency circumstances based on the human information processing theory and the modified task analysis framework.
The paper analyzes and compares the systematic bias errors and the noise error behaviors of the amplitude ratio estimation changing the order of Rife Vincent windows class I, which are designed for maximization of the window spectrum side-lobe fall-off, and minimum side-lobe level (MSL) windows, which are designed for minimization of the energy in the window spectrum main lobe.
In order to understand the error behaviors in the above assessment, we also partitioned the signatures by the same regional criteria.
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Figure 13 Error behavior of proposed AMAP estimator, in sample realization.
Similar error behavior has been obtained for the pressure integral across the shock.
We predict the error behavior of the approximation and demonstrate this on an application.
Wang and Fang [39] proposed a structured procedure to analyze the error behavior of the traffic dispatcher in emergency situations, where an error behavior classification is proposed and validated.
Figure 3 depicts the mean-square error behavior of the IM method for equation (5.1) with the parameter II.
Error behavior of the UKF is then derived in terms of mean square error (MSE), and the Cramér Rao lower bound (CRLB) is introduced as a performance measure.
It is apparent that both of the methods have an almost similar error behavior in terms of RMSE, MAE, and PRME measures.
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