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For designed experiments with a single observation for each run, we formulate log-linear or logistic models and consider a connected Markov chain over an appropriate sample space.
In order to optimize the setting of γ, we use the idea of the Neyman-Pearson lemma, which is based on a single observation, for multiple observations.
Escape latencies across all 9 training trials were averaged for each animal and then treated as a single observation for that subject.
Data were extracted from five studies that used multivariable analyses and used more than a single observation for the evaluation of the risk factor [42], [62], [65], [68], [69].
That is, we have a single observation for each person.
Therefore, these were treated as a single observation for the purposes of clusteringd.
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A single observation of uplift, for example, does not allow us to discriminate between a one-off intrusion and the latest cycle of growth of a long-lived reservoir.
Briefly, LOOCV uses a single observation from the dataset for validation and all remaining samples for training the model.
For this reason, the common practice in cost-effectiveness studies of basing cost estimates on a single observation of the cost of an input – for example, the price of labour, transportation or renting an office – can lead to misleading results [ 6].
There has been never a single observation of malformation.
Resampling and spatiotemporal alignment was required to coincide values of pressure and diameter for use as a single observation vector for each node in the Markov chain.
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CEO of Professional Science Editing for Scientists @ prosciediting.com