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If the plots of the CUSUM or CUSUMSQ statistics stay within the area in the two critical lines, then the parameters of the model are stable over the period of the study.
Lastly, stability tests based on the cumulative sum (CUSUM) and cumulative sum of squares (CUSUMSQ) of recursive residuals will determine whether the parameters of the model are stable over the period of the study.
The calculated values of CUSUM and CUSUMSQ statistics are well within the critical bounds at 5%% level of significance.3 It implies that the coefficients in the error correction model are stable.
If value of r t 2max is between 5495.64 and 6265.00, equilibria of the neutrophil immune response model are stable and converged, as shown in Figure 12(b).
Figure 4 shows the histogram of regression coefficients for individual spacers from the entire test set (2451 individual spacers), among them 67 71% (depending on the internal node mapping model) are "stable" and do not exhibit any statistically significant tendency to increase/decrease in size with evolutionary distance while 29 33% of spacers show significant correlation (P < 0.01).
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The proposed model is stable, computationally efficient, and not very sensitive to parameter variations.
The whole pedestrian model was stable during CPC simulations and predicted common pedestrian injuries.
The experimental data conformed well to the model description, indicating that the OTMD and the model were stable and reliable.
Robustness checks ensure that the model is stable across several conditions, such as time of day or weather conditions.
The results show that the receptor model is stable and that the key interactions formed with the ligand and identified experimentally are conserved.
The applied sensitivity analysis, by changing the weight of clusters, indicates that the applied model is stable and capable of being applied for zoning ecotourism sites.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com