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This study examines the effect that reducing input data requirements of the ARM has on the accuracy of the methodology and comments on the trade-off between model simplification and accuracy.
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We did not perform any model simplification and assessed model fit based on χ2-statistics.
Model simplification and LDA parameters estimation.
Throughout the computation process, there is no need for model simplification and grid network equivalence.
The method can also find applications in related methodological areas of model simplification and parameters estimation.
They both reveal the links between assumptions and forecasts, help in-model simplification and may highlight unexpected relationships between inputs and outputs.
The second part of the section introduces the proposed model simplification workflow and its building blocks.
The NT-model is thus our point of departure for the model simplification process and sensitivity analyses.
The principle of increasing the order of modification model is to strike a reasonable balance between improving the accuracy and model simplification.
But lifespan is the sole variable to remain after multiple regression and model simplification.
We believe that the distinction between essential and modulatory perturbation responses will be of use for sensitivity analysis, and in discussions of robustness and during the model simplification process.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com