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More importantly, while generally consistent in terms of factors that were found to be significant between different models and data aggregation methods, the effect size of each factor differ substantially, which could have significant implications for evaluating the effects of different safety-related policies and countermeasures.
To enable a precise, quantitative comparison between different models and to generate the predictions, we simulated all models within the same modelling pipeline.
In our analysis, we used the BIC and adjusted (R^2,) both of which are well-established and accepted criteria for helping to choose between different models and assess goodness of fit.
The simulations of the suggested structure are generated through a combination of different values of the furrow irrigation variables (inflow discharge, length of furrow, and infiltration parameters), to compare between different models and measured data.
Further, compared to multiple model based adaptive FTC design, the proposed methodology circumvents the issues of stability due to switching between different models and utilizes a minimum number of estimation models for parameter estimation without sacrificing the output performance and thereby reducing the computational burden.
Such consistency suggests that further studies might allow extrapolation of results between different models and species.
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To overcome this problem, we conceptualized and implemented an integrated multi-analyses and multi-viewpoint safety engineering tool that enables tight integration between different models within and across different engineering disciplines.
The developed modelling process and its purely theoretical significance constitute the basis for a variety of applications in data analysis and comparison between different models, evaluations, theories, and operations.
Until now, most studies compared differences between different models of services, e.g. concerning accessibility and location [ 14- 17].
This is the case not only between different machines but often between different models, both old and current, from the same manufacturer.
Its future use will permit comparisons between different models of care and between similar models in different settings.
More suggestions(15)
between different methodologies and
between different predictions and
between other models and
between different specimens and
between stochastic models and
between different countries and
between different ranks and
between different regions and
between different pollinators and
between different religions and
between different fixators and
between different links and
between different devices and
between different generations and
between conceptual models and
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