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Variables that were not statistically significant predictors in the full model (with statistical significance defined as p < 0.05) were sequentially excluded from the models following a stepwise backward procedure, using the F-test of change in R. Potential confounders were retained if the GWG coefficient changed by > 10% after removal.
The differential capacitance was evaluated by analyzing the model with statistical mechanics.
The variance formula for the general index was derived using a linear mixed model, with statistical tests and confidence intervals constructed assuming Gaussian-distributed observations.
The daily records of 12 rain gauge stations scattered in basins with various climates in Iran are used to compare the performance of NDMDM model with statistical downscaling method.
Anomaly-detection-based model with statistical analysis [18] was introduced for intrusion detection in ad hoc network.
Another interesting possible extension of the model would be to combine the proposed model with statistical cure models.
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Our main contribution is the computational framework, MCM, which combines microbial community model construction with statistical model evaluation, sensitivity analysis and automated, statistically rigorous calibration to data.
Natural scientists have made great strides in understanding dynamical processes in the physical and biological worlds using a synthetic approach that combines mathematical modeling with statistical analyses.
Hence, this paper showcases a computationally efficient method which couples multi-scale atmospheric models with statistical model to estimate weather parameters.
The proteins are represented by three-point per residue, three-dimensional models with statistical potentials derived from a knowledge-based study of known protein structures.
The ENN technique is based on training a number of neural network (NN) models with statistical parameters from PD patterns and combining their predictions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com