Sentence examples for functioning discrepancy from inspiring English sources

Exact(1)

This yielded memory functioning discrepancy (MFD), functional activity discrepancy (FAD) and social functioning discrepancy (SFD) scores.

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The general discussion is applied and examined for special kernel function, discrepancy measures for matrices on Pk,m−k and starting parametric model.

Screening a library of prospective insulator parts identified the cleavage sequence RiboJ as the best insulator, and placing the RiboJ sequence between the circuit driving promoter and its gene served to effectively eliminate the transfer function discrepancies.

A larger discrepancy in functioning and disability and health status was observed across age groups in men and women.

Pediatric LT patients reported significantly lower HRQOL relative to healthy children with absence from school and school functioning being areas of greatest discrepancy with healthy children.

The objective function defines discrepancy between theoretically calculated and experimentally measured dispersion characteristics of guided waves generated in the laminate anisotropic plate by piezoelectric wafer active sensors.

When HT lineages functioned as the female, the discrepancy was quite dramatic: PE matings produced, on average, 9.39 times more perithecia than DE matings.

"Weirdness" is quantified using specific discrepancy functions, which are real-valued functions of data and of statistical model parameters.

Having p-values that work for very different probability distributions and any discrepancy function has an obvious advantage: it provides users with assurance that they can use the method for different kinds of statistical models, and that they have sufficient flexibility to check the model [4], [15], [20], [24].

With respect to Method 2, Method 1 has the advantage of allowing the use of various discrepancy functions whereas Method 2 requires very specific test statistic functions; this means that different aspects of the probabilistic model can be studied with Method 1 rather than only the t functions that characterize the hypothesized probabilistic distribution.

Fisherian p-values are simply calculated as the quantile of the discrepancy function calculated on the observed data in the probability distribution of discrepancy functions of data and parameters randomly generated according to some given probabilistic scheme associated to the fitted statistical model.

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