In addition to Model A, Model E and Model F are used as benchmark.
Here, we shall call the nanoribbons as model F. The model F nanoribbon is made of the other BC2N sheet of the model II defined in[17].
The ANOVA of the quadratic regression model demonstrated that the model was highly significant, as was evident from the low P value of the Fisher's F test (F model, 32.90) [(P model > F) = 0.000].
More specifically, we study three transmission energy consumption models, namely flat model, continuous model, and discrete model, as functions of transmission ranges: e i t = c o n s t ( flat model ) f ( d u, v ) (continuous model) q ( f ( d u, v ) ) ( discrete model ).
Similarly, the pattern obtained in model (f) (the original model derived by Baba et al. (2010) for the North Pacific) is slightly less pronounced than the patterns obtained in models (b) and (d), and amplitudes are slightly lower.
In the EKF the nonlinear models are linearized about the current estimate using Taylor series expansion, where model f and observation model h are replaced by the corresponding Jacobians.
Besides, the results show that obtained data were adequately fitted into the second-order polynomial model, since the calculated model F value (39.28) is higher than the critical F value.
Besides, the results show that obtained data were adequately fitted into the second-order polynomial model, since the calculated model F value (172.96 and 96.35 for MB and BG, respectively) is higher than the critical F value.
Since the actual pore size of strata mostly follows a multi-peak distribution, then a double-peak model F, a three-peak model G, and a four-peak model H are set as the simulation objects.
Furthermore, to evaluate the exogenous variables effect on the forecast model, the ARX model is divided into four models similar to Model B and Model C. In this study, Model E (AR) and Model F (ARIMA) are forecast models without the exogenous variables.
