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Despite the use of several statistical approaches to adjust for differences between subjects in the various studies, this was not a single randomized trial.
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Alternatively, instead of simulating the behavior of agents through time, previous LULC change behavior on the landscape can be extrapolated into the future using one of several statistical techniques [25], [26], including cellular automata [27] [29].
The efficiency of several statistical methods used for this purpose has previously been evaluated (Romualdi et al. 2001).
The results are evaluated by means of several statistical methods.
He has been serving on the editorial board of several statistical journals including Biometrics.
Validation of the final model was undertaken by use of several refined statistical techniques.
This analysis was based on the use of several warm-up indicators and statistical tests.
In order to evaluate the day by day performance of these models, a statistical analysis was performed by using several statistical indicators of mean absolute bias error, root mean square error, normal root mean square error, test statistic, standard deviation and coefficient of determination.
The performance of models was comprehensively judged using several statistical verification tools.
Further, the external validation of the models is verified using several statistical criteria recommended by other researchers.
Prediction performance of both models was tested using several statistical parameters such as Akaike's information criterion (AIC) and pseudo-R-squares (pseudo-R 2), and it was observed that the probit model has better performance in the present context.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com