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The model variables were estimated using values from literature.
The effect of variables were estimated by a two-level Plackett Burman factorial design.
The optimum values of the key variables were estimated using Derringer's desirability function.
Associations between totara regeneration and various environmental variables were estimated by calculating Pearson correlation coefficients.
All quantitative variables were estimated using measures of central location (mean, median) and measures of dispersion (standard deviation).
In addition, the dependent variables were estimated at the village level (see Table 12 in the Appendix section).
Potential outliers were identified if more than 20% of the variables were estimated as outliers (minimum of two variables in our case).
Marsily et al. (1984) presented the pilot point method, in which variables were estimated only at the pilot points and others were calculated by the Kriging method.
In addition, year-specific dummy variables were estimated to control for unobserved factors varying over the ten-year period such as time-trends in injury severity, and region-specific dummy variables were estimated to control for unobserved factors varying across regions in Denmark.
Associations between ETS and dependent variables were estimated from the models with 95% confidence intervals.
Hazard ratios for continuous and discrete variables were estimated through Cox's proportional hazard regression models.
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CEO of Professional Science Editing for Scientists @ prosciediting.com