HIGHLIGHTS
SUMMARY
Various kinds of modeling techniques such as statistical modeling, time series modeling, energy balance models, and computational models used 3 of 32 for predicting GT have become vastly available in recent years. Even though most statistical models adopt linearity between the independent and dependent variables, the GT is nonlinear to the other climatological variables, so such models are not optimal for predicting future GT. Other widely used models are time series-based models known as Box-Jenkins models for GT, which work by predicting future values from past historical time-based values. Among the . . .
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