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The experimental data were satisfactorily fitted to quadratic models using multiple regression analysis.
In addition, Goertz analyzes how one can generalize using case studies, as well as systematically test game-theoretic and other models using multiple case studies.
Finally this study confirms that the calibration of models using multiple environmental timeseries (such as MODIS ETobs and Q) can be used to identify structural model issues.
The experimental data were fitted to quadratic response surface models using multiple regression analysis with high coefficient of determination value (R) of 0.9906.
We built various multi-kernel models using multiple subsets of sensors and analyzed their performance when increasing the number of faulty sensors.
In this study, we developed regionalization models using multiple linear regression and regression tree analysis to derive relationships between hydrologic response and watershed physical characteristics for 163 watersheds in the Great Lakes basin.
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We examined both the reliability of this model-based sampling approach as well as the validity of the assumed linear models using multiple-date imagery and sample data collected from a 3-year remote sensing experiment.
Future simulation studies on the behavior of the RMSEA in small degree of freedom models using multiple-groups in particular may shed further light onto the interpretation in such contexts.
Figure 8 Change in regression Standard Error of the Estimate (SEE) for a series of airborne LiDAR calibration models using multiples of 4 field plots (mean of 1000 runs per model).
Multivariate models used multiple logistic regression.
While the other models used multiple temporal, as well as spatial, variables, only case counts were used in case of prediction using Holt-Winters exponential smoothing.
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