A note on the use of the intraclass correlation coefficient in the evaluation of agreement between two methods of measurement.
Furthermore, as shown in Fig. 3 and Table 5, for the monthly mean daily values, the first model presents the highest coefficient of determination in the evaluation of the monthly mean daily DNI solar radiation as 0.977, and gives the lowest values of the MPE, MAPE, MBE, MABE, RMSE, NSE, and tsta as 2.290, 6.439, 0.173, 0.322, 0.461, 0.893, and 1.347, respectively.
While, the monthly mean daily values, and as shown in Fig. 5 and Table 7, the first model presents the highest coefficient of determination in the evaluation of the monthly mean daily DNI solar radiation as 0.846, and gives the lowest values of the MPE, MAPE, MBE, MABE, RMSE, NSE, and tsta as 1.061, 4.986, 0.006, 0.379, 0.586, 0.741, and 0.033, respectively.
Furthermore, as shown in Fig. 4 and Table 6, for the monthly mean daily values, the second model presents the highest coefficient of determination in the evaluation of the monthly mean daily DNI solar radiation as 0.952, while the first model gives the lowest values of the MPE, MAPE, MBE, MABE, RMSE, NSE, and tsta as 0.153, 4.805, −0.036, 0.341, 0.491, 0.748, and 0.243, respectively.
The previous analytical solutions require explicitly considering the interface conditions in the evaluation of coefficients or in the eigenvalue system.
The coefficients were also taken into account in the evaluation of models considering they should be high and similar in magnitude.
A systematic approach was developed for reducing the size as well as the computational cost in the evaluation of diffusion coefficients for mechanisms with mixture-averaged diffusivities by bundling species with similar diffusivities into groups.
This algorithm is not only very useful in the evaluation of constraint coefficients but also in handling the complex nonlinear problems more efficiently than the other algorithms.
In the evaluation of apparent diffusion coefficient value, single-treated groups at 3 and 24 h did not show a difference compared with the pretreatment, but the repeat-treated group at 24 h showed a significant difference (P<0.01, Figure 4).
Thus, factorial seven is written 7!, meaning 1 × 2 × 3 × 4 × 5 × 6 × 7. Factorial zero is defined as equal to 1. Factorials are commonly encountered in the evaluation of permutations and combinations and in the coefficients of terms of binomial expansions (see binomial theorem).
