Exact(1)
Firstly, as Greene (2005) argued, handling of the effect of the models in Pitt and Lee (1981) and Schmidt and Sickles (1984) neglect the possibility of other non-efficiency related time-variant heterogeneity which could affect the estimations of efficiency yielding biased results.
Similar(59)
Figure 6 shows the spatial effect of the model h5.
The VAR are fitted well, and the overall effect of the model is good.
The equations are fitted well, and the overall effect of the model is good.
Various simulations were performed to evaluate the effect of the model assumptions.
Also, feed forward neural network (FFNN) was used for considering non linearity effect of the model.
This is an effect of the model's preference for the technology with lower long-term generation costs.
For the ALT, it is difficult to validate the extrapolation effect of the model directly because of the long product life and high reliability.
A parametric study is presented to characterise the effect of the model inputs on the analysis speed and accuracy.
After the model was constructed, the temporal effect of the model with respect to different time periods was investigated using the log-likelihood ratio test.
Means were adjusted, to equilibrate the effect of the model.
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