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Models using only completed cases were employed to examine consistency and robustness of the estimations of models with imputed data (Appendix A).
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The estimations of model (1) are clustered by municipality.7.7
This is extremely advantageous for the development of statistical models, or rather for generating generally acceptable, stable and plausible estimations of model effects (Tables 1 and 2).
Joint-posterior density estimations of model parameters were obtained in L mode.
Re-estimations of models, results and discussion and evaluation of the model is done in section 5.
The standard methodological rules apply in the estimation of Models (1) and (2).
The second part presents the findings from the econometric estimation of models (1) – (3) presented above.
Estimation of models was done using Markov Chain Monte Carlo simulation and the statistical software MLwiN.
While this was the initial target, the final sample size supported the estimation of models with up to 14 predictors.
For OLS models, these included Breusch-Pagan tests for heteroskedasticity, and re-estimation of models using Huber-White standard errors when indicated.
The estimation of model parameters reduces the modeling uncertainty and thus results in improving the tracking of interfacial boundary.
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