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The Smith predictor is not a suitable control scheme for this class of systems and special approaches developed hitherto are not practically applicable due to their poor robustness and complicated design and structure.
It should be stated here that the linear predictor is not used as an estimator in strict sense.
Hence, at least for our investigation, it can be concluded that even a quite complex linear predictor is not sufficient to cover all sources of overdispersion.
The universal predictor is not necessarily a member of (mathbb {M}) [30], but can be created as a mixture of predictor set (mathbb {M}) [31].
Using numerical simulations and a theoretical argument based on generalized U-statistics, we show that if the added predictor is not statistically significantly associated with the outcome, the null distribution is non-normal, contrary to the assumption of DeLong test.
For a given Ri, should the p-value be greater than 0.05 for a predictor, one can state that the predictor is not statistically significant for the key feature in question, thus the corresponding function f is set to zero.
Similar(43)
Note that each grade had grade-appropriate math tests, so grade as a predictor was not a given.
However, the performance of the identified predictor was not as good as the microarray gene expression predictor (71% prediction accuracy, 50% specificity and 75% sensitivity).
Therefore, we can be fairly sure that criterion and predictor were not confounded.
The hypothesized Cancer Risk Management Knowledge predictor was not significantly associated with either quality indicator.
Any subject with a missing value on any predictor was not included in the analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com