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Figure 5 a, b SEM image of well-oriented SWNT arrays on SiO2/Si wafer by EtOH-CVD at 900°C, a using the fast-heating method, and the inset is its part magnified image, b using the ordinary method, and the right inset is TEM image of individual nanotube, c AFM image of the as-grown SWNTs, Raman spectra d and e are RBM and G-band, respectively, of two different SWNTs in sample (b).
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Finally monthly solar radiation maps are constructed using the Ordinary Kriging method.
SEM image is shown in Fig. 5b using the ordinary CVD method, and the inset is TEM image.
Thus the following equation shall be estimated using the ordinary least square method.
The multivariable linear regression models were fit using the ordinary least squares method.
The parameters of regression models are usually estimated using the ordinary least square method.
Rice crop data were analyzed using the ordinary least square method and the augmented Dickey Fuller test.
In this case, using the Ordinary Least Square method (OLS estimates) to estimate the parameters of network data models is invalid.
The reaction function was evaluated using the ordinary least squares method, and the coefficient of determination describes the function's power.
Because initial estimations performed using the Ordinary Least Squares method indicated the presence of a number of outliers and near outliers, estimation is subsequently done utilizing a robust regression method instead.
The univariable analysis was performed using the ordinary ordinal regression method [ 14].
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