Sentence examples for underlying method for from inspiring English sources

Exact(3)

For simplicity, assume that (varepsilon _i = 0) (f is deterministic); however, in general, all methods considered can be used in a stochastic scenario (for example, when randomized cross-validation is used as underlying method for f evaluation).

An underlying method for both engines, which is range accuracy adaptation, is presented.

Thus, the counterpart of (9) for FDEs with order 0 < α < 1 must be written in the form 1 ϕ ( h, λ ) ∑ j = 0 n w j ( y n − j − y 0 ) = F ( t, y n, y n − 1, …, λ ) (11). when the GL discretization (6) is exploited as the underlying method for the construction of NSFD schemes.

Similar(57)

Section 'The shifting basis function' deals with the mathematical deduction of the basis function underlying our method for range-color image registration.

In these instances, assumptions underlying standard methods for survival analyses are violated (log-rank tests and Cox proportional hazard models, respectively).

Distinct differences in the absorption spectra between oxy- and deoxy-hemoglobin in the visible and infrared (IR) spectral regions underlie spectroscopic methods for non-invasive assessment of in vivo hemoglobin oxygen saturation levels [ 2– 11].

In the case of non-negative coefficients in the underlying RK method and for constant τ one can show (see details in Additional file 1) that if (17) is applied to (21) with constant τ such that | R z)| < 1, z = - τ k1 + k2), then in the limit as n → ∞ the mean vector converges to the theoretical mean, that is lim n → ∞ E [ X n ] = E [ X * ].

A psychometric evaluation was performed to evaluate how well the QoL scale items satisfied the assumptions underlying the Likert method for summated rating.

The analysis of the OPSAT-Q data focused on how well the items satisfied assumptions underlying Likert's method for summated ratings, which was used to score the OPSAT-Q scales.

The process of data extraction involved a critical review of the selected articles to identify the following information: type of primary study; definition of community; target community for CE; definition of CE; CE methods, model or strategy; CE rationale; underlying principles; methods used for evaluation; and lessons learned.

A similar goal underlies methods used for batch-effect removal, a step which is crucial when comparing datasets that originate from different times and laboratories [ 33].

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