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Multi-experiment fitting sequences provided us with χ2 values, indicating the quality of model fits (Table 1).
This provides evidence of model fits as the hypothesized model can represent adequately the observed data.
In general, brightness normalization increased the stability of model fits and regression coefficients for all canopy scenarios.
The accuracy of the post-strata models varied in terms of model fits (i.e., R2) and RMSECV % depending on the vegetation and land use types (Table 4).
The transferal of model fits did not decrease the accuracy for very similar regions with Linz showing 25%% for on-site and cross-city evaluation.
Specific examples of model fits to soil, sediment and rock samples with identified thermally altered CM components provide a linkage between sorption components and sorbent material properties.
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Figure 9 Assessment of model fit.
Indices of model fit are given in Table 10.
Because the regression models are saturated models, issues of model fit did not occur.
So, if the model satisfies this assumption, positive evidence of model fit is available.
Unfortunately, energy models have a rather poor history of model fit [36],[36].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com