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Both models were tested for its validity at 12 °C.
Both models were tested for different architectures with 1≤N≤5 and 2≤M≤5 subject to uniform staggered test.
Both models were tested with data from Slovenia's three largest forest habitat types (FHT), namely 9110 Luzulo-Fagetumum beech forests, 91K0 – Illyrian Fagus sylvatica forests (Aremonio-Fagion) and 91L0 – Illyrian oak-hornbeam forests (Erythronio-Carpinion), provided by the Forest and Forest Ecosystem Condition Survey.
An ANN and a GLM were developed to determine the probability of submerged plant occurrence in five shallow Anatolian lakes, and both models were tested on an spatially and temporally independent test set consisting of data collected from another Anatolian lake, Lake Mogan.
Both models were tested for males and females separately.
Both models were tested for overall significance across time using a moderated F-test.
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Both models are tested by a NMR-relaxation experiment.
Prediction performance of both models was tested using several statistical parameters such as Akaike's information criterion (AIC) and pseudo-R-squares (pseudo-R 2), and it was observed that the probit model has better performance in the present context.
Both models are tested at an urban and suburban location in Dublin City, Ireland, where sonic anemometry is positioned at approximately 1.5 times the average height of buildings at the respective locations.
In both cases, models were tested at least twice to check for convergence problems.
Both additive and multiplicative models were tested for the available data.
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