Sentence examples for incorrect observations from inspiring English sources

A large number of the well-authenticated stories of monstrous marine creatures seem to be explicable as incorrect observations of animals already well known.

Here, the breakdown point, a criterion often used to measure robustness of an estimator, is defined as the proportion of incorrect observations (i.e., arbitrarily small or large observations), the estimators of α and β can handle before giving estimated values arbitrary close to zero or infinity.

In this study we propose to include another effective robust estimator, the MM-estimator [ 26], that has been shown to have both a high breakdown point (i.e. the percentage of incorrect observations an estimator can handle before giving an incorrect result) and a high efficiency [ 27, 28], but has not yet been utilised in mapping exercises.

Diagnoses are computed by descending into the tree, enumerating the input combinations that might be responsible for a given incorrect observation, and combining the diagnoses for the subtrees generating these inputs into diagnoses for the whole system.

Errors in flow indices (see Fig. 7d) produce an incorrect observation of trends in the αDB magnitudes among patients (see Fig. 7c).

Note that these probabilistic models are able to cope with situations in which incorrect observation symbols are assigned to particular words in the input string – the only requirement is that the symbols are assigned in a consistent fashion.

From the paragraphs above and particularly from Figure 3 (GO enrichment analysis) an incorrect observation could be made that the overall transcriptional profile in the five magnet positions is very different.

Four physiotherapists independently rated test performances as correct or incorrect per observation, blinded to all other patient information and to each other.

180 Incorrect analysis of multiple observations per individual was seen in 123 (63%) of 196 trials in rheumatoid arthritis.

The list of most competitive phenotypes suggests places where the structure of the model may be incorrect or the experimental observations may be suspect.

During the observation task, a similar time-course of the beta activity was identified and importantly the modulations were stronger for the observation of incorrect than correct actions.