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The dataset for model estimation contains 3,434 cases.
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The proposed fuzzy modeling for measurement condition estimation contains three steps as shown in Figure 2: (1) fuzzy model parameter preparation, (2) probability-possibility transformation, and (3) measurement condition estimation.
It highlights the fact that the augmented state space model for the combined state and parameter estimation contains stronger nonlinearity than the original state space model.
Table 1 Results of model estimation.
Maximum-likelihood methods were used for model estimation.
Model estimation.
Joint model estimation also yielded similar results.
Model estimation was also conducted in STATA.
It shows our model estimation is acceptable.
Model estimation was performed using maximum likelihood.
Estimates of future COI were made using two methods [ 13] fixed model estimation and variable model estimation.
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