Sentence examples for data implied by from inspiring English sources

The difference between the data implied by the model and the observed data can be tested for statistical significance using the χ2 test.

Each restriction in the model adds 1 df, and this can be used to interpret the difference between the data implied by the model, and the observed data.

If the chained equations algorithm imputes all variables from the predictive distribution of the missing data implied by a specific joint model, then order effects cannot occur [ 22].

We investigated, in finite samples, sufficient conditions under which a chained equations algorithm with compatible conditional models imputes missing data from the predictive distribution of the missing data implied by the joint model and its accompanying prior.

We have defined a non-informative margins condition which, together with compatibility of the conditional models, we have proved is sufficient for a chained equations algorithm to impute missing data from the predictive distribution of the missing data implied by the joint model and its prior distribution.

Therefore, the mutual information between features and classification types is a good metric to measure the utility/privacy information implied by data, since mutual information can be used to quantify the information correlation between the input and output of a classification model.

Besides that, it utilizes the correlation coefficient to characterize the correlation among features, and allow the tool users (i.e., the data managers) to directly observe the effects of the combination of features and sampling rates to better understand the utility and privacy information implied by the data to be shared.

The boundaries of the ribosomal rrnL and rrnS genes were determined by comparison to the orthologous counterparts present in the mtDNAs of the Hymenoptera species already sequenced, as well as structural information implied by direct modeling (data not shown).

The data worth implied by the surface soil water content data and groundwater level data is prone to corruption by a deviated initial guess.

The proposed model is applied to modeling power supply for high-field magnet where the model is developed in the presence of a limited dataset (where the small size of the data is implied by high costs of acquiring data) as well as strong nonlinear characteristics of the underlying phenomenon.

The proof of the theorem asserting the above, supports the conclusion that it is possible to design a heuristic that eliminates the adverse effect of spurious readings without loosing temporal resolution of data (as implied by the standard method of data averaging).