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The effectiveness of the integrated controller on handling performance improvement is tested by a vehicle without driver model under a crosswind disturbance.
For any constrained type (PRightarrow tau,) improvement is tested only upon the presence of unreachable type variables, that is, if (P_u = P - P|_{{tv tau )}}^ not = emptyset.) This is a consequence of the side-condition ((Q_u = emptyset )) in rule ((mathtt {APP} )), Fig. 3.
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The statistical significance of the improvement was tested with the approximate randomization test.
Association between each module's first principal component of the expression data and clinical improvement was tested in the three cohorts.
Model improvement was tested by applying the likelihood ratio test where p < 0.05 indicated a model improvement.
These improvements are tested numerically and experimentally.
These improvements were tested on the calibration standards, lowering the MDL from 19.5 μgAl/gCa to 8.32 μgAl/gCa.
These improvements were tested and verified by true if an odd number of its arguments are true and false otherwise (XOR) experiments, and were powerful for classification.
Both formulations, with and without the improvements, are tested in a computational framework in order to discriminate the most promising solution methods.
The algorithm is tested via improvement in recognition rate when the lowest quality images from the database are ignored.
These improvements could be tested for significance by applying Swait Louviere log-likehood ratio test.
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CEO of Professional Science Editing for Scientists @ prosciediting.com